1583 Pandas Jobs - Page 21

Role & responsibilities Category Details Role Xpert AI Platform-Software Engineer II Location [Specify Location / Remote] Employment Type Full-time / Contract Experience 37 years in Python Programming Primary Skills (Must-Have) Strong grasp of Core Python programming ,OOPS Concepts Understanding of operational concepts such as: Logging, exception handling Multi-threading/multiprocessing Performance tuning Working with large data structures efficiently Data Processing Libraries Pandas : Must be proficient in using Pandas for data manipulation and analysis PySpark (or equivalent): Experience working with large-scale data using distributed processing (preferably with PySpark) AWS (Coding Using AWS Services) Hands-on experience with coding using any AWS services such as: S3 (data storage and retrieval) Lambda (serverless functions) Glue or EMR (data processing pipelines) Athena (querying S3 data) Familiarity with Boto3 SDK for programmatic access SQL Knowledge Strong SQL query writing skills Experience in: Complex joins Window functions Optimizing SQL queries for performance Working with relational databases and data warehouses (e.g., Redshift, Snowflake, or Postgres) Key Responsibilities Feature Development Any innovative Design and Development using Technology Create any packages in Python (Ops) - Performing data preprocessing tasks on Normalized Data Collaboration & Agile Development: Collaborate with Project team Members to deliver features Participating in Agile Contribute to T echnical Documentation and knowledge-sharing sessions Preferred candidate profile

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experime ... nt with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment. What we Offer: Opportunity to work on cutting-edge AI technologies and impactful projects. A collaborative and growth-oriented work environment. Competitive compensation and benefits package. A chance to be a part of a team shaping the future of enterprise intelligence.

Qualification: BE (Any Stream)MCA BCA BCCAB.Sc. M.Sc. Description Start your journey towards becoming a professional Django developer and Python programmer. Apply now to build your career in web development with practical industry exposure. Python Core Development Topics Covered: Fundamentals of Python programming. Data structures (lists dictionaries sets and tuples). Functions modules and libraries. Objectoriented programming (OOP) in Python. File handling exception handling and debugging. Introduction to Python libraries such as NumPy and Pandas. Django Framework Overview: Introduction and installation of Django Creating and managing views and URL configurations Designing templates Working with the Django Admin Site Developing and managing forms Implementing advanced views and URL configurations Building advanced templates Creating advanced models Integrating user authentication in Django Testing and deploying Django applications Managing Django sessions and caching Implementing internationalization features Ensuring application security Developing REST APIs Program Benefits: Handson practical training delivered by industry professionals. Comprehensive internship program integrated into the training. Training completion certification. 3month internship certification

Share resume to : sowmya.v@acesoftlabs.com Position : Data Scientist Location : Hyderabad /Ahmedabad We are seeking a Data Scientist to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modeling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,

As an Applied AI Engineer (Fresher) at our company, we are looking for high-potential graduates from prestigious institutions like IITs or NITs. Your role will involve collaborating with senior engineers and data scientists to design and implement AI-driven solutions. It is essential to have a strong foundation in Data Structures & Algorithms and a keen interest in AI, machine learning, and deep learning technologies. You will be responsible for developing, optimizing, and deploying machine learning and deep learning models. Additionally, translating abstract AI challenges into efficient, scalable, and production-ready code will be part of your daily tasks. Participation in technical discussions, code reviews, and exploring state-of-the-art AI frameworks and research trends are also key responsibilities. To excel in this role, exceptional problem-solving abilities, proficiency in Python and its core libraries, and a fundamental understanding of machine learning concepts are required. Exposure to deep learning frameworks like TensorFlow or PyTorch, along with a good grasp of object-oriented programming and software engineering principles, will be beneficial. Preferred qualifications include hands-on experience with AI/ML projects, familiarity with Reinforcement Learning, NLP, or Computer Vision, and knowledge of Git, Docker, and cloud platforms like AWS, GCP, or Azure. Educational qualifications of B.E./B.Tech/M.Tech in Computer Science, Artificial Intelligence, Machine Learning, or Data Science from IITs or NITs are necessary. If you are passionate about AI and possess a continuous learning mindset, we invite you to apply for this position by sharing your CV at jignesh.pandoriya@merillife.com. Join us and contribute to shaping the future of intelligent systems, where your innovation will directly impact lives.,

As a software developer with 5-7 years of experience, especially in working with large-scale data systems, you will be expected to have a solid understanding of Machine Learning concepts such as regression, classification, and clustering. Proficiency in Python is a must, although knowledge of other programming languages like R, Java, or C++ will also be beneficial. Hands-on experience with ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras is required for this role. In addition to your programming skills, you should have a strong grasp of data structures, algorithms, statistics, and Database Management Systems (DBMS). Excellent communication skills are essential for effectively conveying technical information to both technical and non-technical audiences. Familiarity with data tools like Pandas, NumPy, and SQL will be advantageous. Soft skills such as analytical thinking, problem-solving, adaptability, and teamwork are also highly valued in this position. Desirable skills for this role include exposure to advanced Machine Learning areas such as deep learning, Natural Language Processing (NLP), computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with version control systems like Git and an understanding of MLOps and pipeline concepts would be beneficial for this role.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you will be part of a team of bright individuals working with cutting-edge technologies. Our purpose is to bring about real positive changes in an increasingly virtual world, transcending generational gaps and future disruptions. We are currently looking to hire AI/ML Professionals for the position of AI Engineer with 24 years of experience on a full-time basis. As a highly skilled and motivated Data Scientist at YASH, you will be responsible for leveraging your advanced analytical and technical expertise to solve complex business problems and drive data-driven decisions. Your role will involve designing, developing, and deploying sophisticated machine learning models, performing in-depth data analyses, and collaborating with cross-functional teams to deliver actionable insights. Responsibilities: - Building and deploying ML models for classification, regression, and clustering tasks. - Applying foundational GenAI concepts such as embeddings, summarization, and RAG. - Utilizing APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). - Preparing documentation and interpreting results effectively. Required Skills: - Strong hands-on experience in Python, Scikit-learn, and Pandas. - Knowledge of model evaluation, feature engineering, and model tuning. - Exposure to LangChain and vector databases. - Basic familiarity with FastAPI or Flask. At YASH, you will have the opportunity to create a career path that aligns with your aspirations while working in an inclusive team environment. We believe in leveraging career-oriented skilling models and utilizing technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our workplace culture at YASH is grounded in four principles: - Flexible work arrangements, free spirit, and emotional positivity. - Agile self-determination, trust, transparency, and open collaboration. - Providing all necessary support for the realization of business goals. - Offering stable employment with a great atmosphere and an ethical corporate culture.,

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets to ensure data accuracy and consistency. Your role will involve performing exploratory data analysis to identify trends, patterns, and anomalies, as well as conducting statistical analysis to support decision-making processes. You will be expected to create clear and actionable reports and dashboards for technical and non-technical stakeholders, utilizing tools such as PowerBI, Tableau, and Python libraries for data visualization. Additionally, you will work on generating descriptive, predictive, and prescriptive insights using tools like MS Copilot in PowerBI and collaborate with cross-functional teams to provide actionable insights based on data analysis. Ensuring data integrity and security will be a key aspect of your role, where you will need to comply with data privacy policies and maintain data integrity while implementing best practices for data storage and access. Continuous improvement is also essential, as you will need to stay updated with emerging data analysis techniques, tools, and industry trends to recommend improvements in data collection, processing, and analysis procedures. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications in data analysis or business intelligence would be a plus. You should also have at least 7 years of experience as a Data Analyst or in a similar analytical role, along with proficiency in SQL, data visualization tools, and data manipulation and analysis tools such as Python and R. Strong analytical and problem-solving abilities, attention to detail, excellent communication skills, and the ability to work both independently and as part of a team are essential soft skills for this role. Moreover, having knowledge of statistical analysis, machine learning, and AI concepts would be advantageous for more advanced roles. Overall, as a Data Analyst, you will play a crucial role in analyzing data, providing insights for decision-making, ensuring data integrity, and contributing to continuous improvements in data analysis processes and procedures.,

You are a Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. Your primary responsibility will be to develop, train, and deploy machine learning models using Python. You will collaborate with data science and engineering teams to create intelligent solutions that address real-world problems. Your tasks will include working on AI-driven applications such as predictive modeling, natural language processing, and computer vision based on project requirements. You will need to preprocess, clean, and transform data for training and evaluation purposes. Model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch will also be part of your role. It is essential for you to write modular, efficient, and testable code and document processes, models, and experiments clearly for team use and future reference. Staying updated with the latest trends and advancements in AI and machine learning is crucial for this position. You should possess 2 to 3 years of hands-on experience with Python programming. A solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) is necessary. Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn is required, as well as exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Good knowledge of data structures and algorithms, model evaluation techniques, and performance metrics is expected. Having familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving skills are essential for this role. Ideally, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. Experience with deploying ML models using Flask, FastAPI, or Docker is preferred. Knowledge of MLOps and model lifecycle management is an advantage, and understanding of NLP or Computer Vision is a plus.,

We are looking for a highly skilled and motivated SQL Developer with expertise in PostgreSQL or Oracle databases, along with proficiency in Java and/or Python. Your role will involve designing, developing, and maintaining robust and scalable database solutions, integrating them with Java and/or Python applications, and optimizing database performance to ensure data integrity. Collaboration with cross-functional teams is essential to deliver high-quality software. Your responsibilities will include: - Designing, developing, and implementing complex SQL queries, stored procedures, functions, and triggers for PostgreSQL or Oracle databases. - Optimizing database performance through indexing, query tuning, and schema improvements. - Working closely with application developers to integrate database solutions with Java and/or Python applications. - Developing and maintaining ETL processes for data migration and integration. - Collaborating with business analysts to understand data requirements and translate them into technical specifications. - Ensuring data integrity, security, and availability. - Performing database performance monitoring, troubleshooting, and tuning. - Participating in database design reviews and providing recommendations for best practices. - Developing and maintaining documentation for database designs, processes, and procedures. - Supporting existing database systems and applications, including on-call rotation as needed. - Staying up-to-date with the latest technologies and best practices in PostgreSQL, Oracle, Java, and Python. Required Skills and Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 3+ years of experience as an SQL Developer. - Strong proficiency in PostgreSQL or Oracle databases. - Expertise in writing complex SQL queries, stored procedures, functions, and triggers. - Experience with database design, normalization, and optimization. - Proficiency in Java or Python. - Experience with version control systems like Git. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team in a fast-paced environment. Preferred Skills (Bonus Points): - Experience with both PostgreSQL and Oracle databases. - Familiarity with cloud platforms like AWS, Azure, GCP. - Experience with CI/CD pipelines and DevOps practices. - Knowledge of data warehousing concepts and tools. - Experience with data visualization tools like Tableau, Power BI. - Familiarity with NoSQL databases like MongoDB, Cassandra. About Finacle: Finacle is a leading provider of digital banking solutions, partnering with financial institutions to enhance banking experiences. The cloud-native solution suite and SaaS services offered by Finacle help banks engage, innovate, operate, and transform effectively. As a business unit of EdgeVerve Systems, a product subsidiary of Infosys, Finacle is known for its functionally-rich solution suite, composable architecture, and track record of driving digital transformation in financial institutions. For more information, visit the Finacle website at: [Finacle website](https://www.edgeverve.com/finacle/solutions/) Disclaimer: Edgeverve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you encounter such scams, please report them immediately.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

The ideal candidate for the position of Python Developer at Exela should possess solid programming experience and a basic understanding of AI concepts. In this role, you will be responsible for designing, developing, testing, and maintaining Python applications and services. Additionally, you will work on REST APIs, data pipelines, automation scripts, LLM integration, LangGraph, LangChain, preprocessing, and reporting. Key Responsibilities: - Design, develop, test, and maintain Python applications and services - Work with REST APIs, data pipelines, and automation scripts - Work on LLM integration, LangGraph, LangChain, preprocessing, and reporting - Write clean, maintainable, and efficient code - Conduct unit testing and code reviews - Optimize performance and troubleshoot production issues Qualifications: - Strong proficiency in Python (OOP, standard libraries, file I/O, error handling) - Experience with frameworks like Flask, FastAPI, or Django - Basic understanding of pandas, NumPy, and data manipulation - Familiarity with Git and version control best practices - Experience working with JSON, CSV, and APIs If you are a skilled Python Developer looking to work on robust, scalable Python-based Agentic AI applications and support data teams with integration and automation tasks, we encourage you to apply for this exciting opportunity at Exela.,

An exciting opportunity awaits you in a small yet strategically vital Modernization team within the Global Research business. This team is part of Corporate and Investment Banking Global Research and is dedicated to delivering innovative digital products, experiences, and solutions to both internal and external clients. These offerings enhance the curation and consumption of our Global Research product across diverse client channels. The Research Modernization team is committed to identifying new opportunities and spearheading execution and change throughout the organization. As a Python Developer within the Research Modernization team, you will bring dynamic energy, strong attention to detail, and the ability to multitask. In this role, you will have the opportunity to be highly organized, proactive, and flexible. Your keen attention to detail, strong communication skills, and sense of urgency will be highly valued. Build, deploy, and maintain business processes using Python. Collaborate with Research Analysts to understand their data needs and translate their requirements into data/information solutions. Utilize Python for data handling and manipulation to prepare and transform data into a usable format for Research Analysts. Create, productionize, and store enhanced and original datasets; improve data analysis and discovery tools; model the data with a focus on ease of storage, retrieval, and usability. Develop scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows. Automate publication and analytics workflows for Research Analysts. Monitor and troubleshoot process performance and reliability issues in a timely manner. Identify opportunities for process improvement and develop policies for data access and governance. Ensure data quality and integrity through effective validation and testing processes. Research and analyze datasets using a variety of analytical techniques in Python. Required qualifications, capabilities, and skills: - Bachelors degree in engineering, computer science, information technology, or other data science/analytics fields. - Minimum 1 year of hands-on experience in developing applications using Python. - High level of proficiency in Python and relevant packages for data handling and manipulation. It is essential that the candidate has hands-on experience and in-depth knowledge of libraries like Pandas and NumPy. - Strong background in data structures, algorithms, and data engineering, with experience in multiple data/technology platforms. - Strong analytical and problem-solving skills. - Excellent communication, presentation, interpersonal, and organizational skills. - Detail-oriented, with a highly disciplined approach to processes and controls. Preferred qualifications, capabilities, and skills: - Understanding of libraries for web scraping, such as BeautifulSoup and Selenium, will be a plus.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

You should possess expert-level proficiency in Python and Python frameworks or Java. Additionally, you must have hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, CloudFormation, Docker, ECS, Fargate, and ECR. Your deep experience should cover key AWS services such as Compute (PySpark, Lambda, ECS), Storage (S3), Databases (DynamoDB, Snowflake), Networking (VPC, 53, CloudFront, API Gateway), DevOps/CI-CD (CloudFormation, CDK), Security (IAM, KMS, Secrets Manager), and Monitoring (CloudWatch, X-Ray, CloudTrail). Moreover, you should be proficient in NoSQL Databases like Cassandra, PostgreSQL, and have strong hands-on knowledge of using Python for integrations between systems through different data formats. Your expertise should extend to deploying and maintaining applications in AWS, with hands-on experience in Kinesis streams and Auto-scaling. Designing and implementing distributed systems and microservices, scalability, high availability, and fault tolerance best practices are also key aspects of this role. You should have strong problem-solving and debugging skills, with the ability to lead technical discussions and mentor junior engineers. Excellent communication skills, both written and verbal, are essential. You should be comfortable working in agile teams with modern development practices, collaborating with business and other teams to understand business requirements and work on project deliverables. Participation in requirements gathering and understanding, designing solutions based on available frameworks and code, and experience with data engineering tools or ML platforms (e.g., Pandas, Airflow, SageMaker) are expected. An AWS certification (AWS Certified Solutions Architect or Developer) would be advantageous. This position is based in multiple locations in India, including Indore, Mumbai, Noida, Bangalore, and Chennai. To qualify, you should hold a Bachelor's degree or a foreign equivalent from an accredited institution. Alternatively, three years of progressive experience in the specialty can be considered in lieu of each year of education. A minimum of 8+ years of Information Technology experience is required for this role.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

As a GenAI Developer at Vipracube Tech Solutions, you will be responsible for developing and optimizing AI models, implementing AI algorithms, collaborating with cross-functional teams, conducting research on emerging AI technologies, and deploying AI solutions. This full-time role requires 5 to 6 years of experience and is based in Pune, with the flexibility of some work from home. Your key responsibilities will include fine-tuning large language models tailored to marketing and operational use cases, building Generative AI solutions using various platforms like OpenAI (GPT, DALLE, Whisper) and Agentic AI platforms such as LangGraph and AWS Bedrock. You will also be building robust pipelines using Python, NumPy, Pandas, applying traditional ML techniques, handling CI/CD & MLOps, using AWS Cloud Services, collaborating using tools like Cursor, and effectively communicating with stakeholders and clients. To excel in this role, you should have 5+ years of relevant AI/ML development experience, a strong portfolio of AI projects in marketing or operations domains, and a proven ability to work independently and meet deadlines. Join our dynamic team and contribute to creating smart, efficient, and future-ready digital products for businesses and startups.,

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and understanding of accessibility standards in educational content are also desirable.,

As an Advisor, Statistical Analysis at Fiserv, you will utilize your expertise in Computer Science, Data Science, Statistics, Mathematics, or related fields to drive impactful insights. Your responsibilities will involve leveraging your proficiency in Python, SQL, and data science libraries such as pandas, scikit-learn, TensorFlow, and PyTorch to analyze and interpret data effectively. To excel in this role, you should have hands-on experience with big data technologies like Spark, Hadoop, as well as cloud platforms including AWS, GCP, and Azure. Your strong problem-solving skills will be crucial in tackling complex challenges, and your ability to thrive in a dynamic and collaborative work environment will contribute to the success of our team. If you are a forward-thinker with a passion for innovation, and are seeking a rewarding career where you can make a difference, Fiserv is the place for you. Join us in shaping the future of financial technology and unlock your full potential. To apply for this position, please submit your application using your legal name. Complete the step-by-step profile and attach your resume to be considered for this exciting opportunity. We appreciate your interest in becoming part of the Fiserv team. At Fiserv, we are committed to fostering an inclusive and diverse workplace where every individual is valued and respected. We believe that diversity drives innovation and we embrace the unique perspectives and experiences of our employees. Please note that Fiserv does not accept resume submissions from agencies without existing agreements. Kindly refrain from sending resumes to Fiserv associates as we are not liable for any fees related to unsolicited submissions. We also caution applicants to be vigilant against fake job posts that are not affiliated with Fiserv. These fraudulent postings may be used by cybercriminals to obtain personal information or financial data. Any communication from a Fiserv representative will be from a legitimate Fiserv email address to ensure transparency and security throughout the hiring process.,

As a Full Stack AI Developer, you will be responsible for designing, developing, and maintaining AI-powered full stack applications. Your key responsibilities will include building and optimizing REST APIs using FastAPI/Flask, integrating advanced LLM capabilities, creating backend services, implementing Generative AI features, developing front-end interfaces with Streamlit or React, and applying best practices in software engineering. You will also work with cloud platforms like AWS, Azure, and GCP to monitor AI systems in production environments. Required Technical Skills: Core Python Development: Proficiency in Python 3, including syntax, control flow, data structures, functions, error handling, file I/O, modules, decorators, list/dict comprehensions, and exception management. Scientific & Data Libraries: NumPy for array operations, broadcasting; Pandas for data manipulation, aggregation, data cleaning; Database Integration with SQL, SQLite, MongoDB, Postgres, vector DBs (Chroma, PGVector, FIZZ). API Development: RESTful API design with FastAPI or Flask, async/await, dependency injection, request validation, JWT/OAuth2 auth, vector DB integration, and streaming LLM responses. Generative AI / LLMs: Understanding of Transformer architectures, LLMs (GPT, BERT, LLaMA), LangChain, LlamaIndex, Hugging Face Transformers, prompt engineering, parameter tuning, RAG, and agent-based workflows. Deployment & Containerization: Proficiency in Docker, Dockerfiles, Docker Compose, CI/CD pipelines, GitHub Actions, and deploying containerized services. Frontend Development: HTML5, CSS3, modern JavaScript (ES6+), Streamlit, React.js (with TypeScript), building conversational UIs, integrating streaming outputs via WebSockets/SSE. Desirable Skills: Experience with cloud services (AWS, Azure, GCP), monitoring and logging for AI systems, testing frameworks like pytest, httpx, React Testing Library, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Soft Skills: Strong communication and documentation skills, problem-solving mindset, ability to collaborate across cross-functional teams. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Certifications or hands-on experience in Generative AI/LLMs is a plus. In summary, this role is ideal for individuals passionate about developing end-to-end AI applications using GenAI products, LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready environment.,

As a Software Engineer in the area of Software Engineering, you will be responsible for the development, maintenance, and optimization of software solutions and applications. You will apply scientific methods to analyze and solve software engineering problems, using your strong working experience in Python-based Django and Flask framework. Additionally, you will have experience in developing microservices based design and architecture, along with a solid understanding of programming knowledge in Javascript, HTML5, Python, Restful API, and gRPC API. Your programming experience and object-oriented concepts in Python will be crucial, as well as your knowledge of Python libraries like Numpy, Pandas, Open3D, OpenCV, and Matplotlib. You should also have knowledge of MySQL, Postgres, or MSSQL databases, 3D geometry, SSO/OpenID Connect/OAuth authentication protocols, and version control systems like GitHub, BitBucket, or GitLab. Furthermore, you should be familiar with continuous integration and continuous deployment (CI/CD) pipelines, possess basic knowledge of image processing, data analysis, and data science. Strong communication skills, analytical thinking, and the ability to handle challenges are essential for this role. You must also be a good team player, proactive in suggesting new ideas and solutions, and provide constructive analysis of team member's ideas. Having knowledge of other programming languages like C, C++, basics of machine learning, exposure to NoSQL databases, and cloud platforms such as GCP/AWS/Azure would be a plus. In this role, you will work collaboratively with other software engineers and stakeholders, demonstrating your ability to apply your skills and knowledge to achieve team goals. You will be expected to work independently with minimal supervision, delivering accurate and reliable results. Your work will involve original thought and judgment, and you may also supervise the technical and administrative work of other software engineers. If you have more than a year of relevant work experience, a solid understanding of programming concepts, software design, and software development principles, and can work cooperatively with others to achieve team goals, then you may be a great fit for this role. Organizing your time effectively and making decisions based on your understanding of the situation will be key to your success in this position.,

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related tools. Your knowledge extends to Generative AI concepts and LLM finetuning, supported by excellent communication and collaboration skills. Your responsibilities as a Lead Data Scientist include guiding and mentoring a high-performance team on the latest technology landscape, patterns, and design standards. You provide strategic direction and technical leadership for AI initiatives, leading the design and architecture of complex AI systems. Your role involves developing and deploying machine learning/deep learning models to address key business challenges, applying various techniques in statistical modeling, data preprocessing, feature engineering, and more. You are proficient in areas such as computer vision, predictive analytics, natural language processing, time series analysis, and recommendation systems. Furthermore, you design and optimize data pipelines for model training and deployment, utilizing model serving frameworks and APIs for integration with other systems. Your qualifications include a Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Your primary skills encompass Python, Data Science concepts, Pandas, NumPy, Matplotlib, Artificial Intelligence, Statistical Modeling, Machine Learning, Natural Language Processing (NLP), Deep Learning, Model Serving Frameworks, MLOps, Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems, Generative AI, and proficiency in Cloud Computing Platforms. Your secondary skills involve expertise in designing scalable and efficient model architectures, the ability to assess and forecast financial requirements of data science projects, and strong communication skills for conveying technical concepts to stakeholders. As a Lead Data Scientist, you stay updated with the latest advancements in data science and machine learning, particularly in generative AI, to evaluate their potential applications and serve as a primary point of contact for client managers.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

As a Data Scientist at our groundbreaking digital real estate platform in Dubai, you will play a pivotal role in transforming vast datasets into predictive models and insights that will define our competitive edge. You will have the opportunity to work on challenging problems in the PropTech space and directly influence the user experience and business strategy. Your responsibilities will include designing, training, and deploying machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values. Additionally, you will develop a personalization and recommendation engine, analyze complex datasets to identify business insights and user behavior patterns, and build predictive models for forecasting metrics such as user churn and neighborhood demand dynamics. Collaboration will be key in this role, as you will work closely with backend engineers, product managers, and business stakeholders to leverage data assets and drive personalization, market intelligence, and strategic decision-making across the platform. You will also contribute to the design and development of big data infrastructure and MLOps pipelines. To be successful in this role, you should have 3-5+ years of hands-on experience as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment. A Masters degree or PhD in a quantitative field is required, along with expert proficiency in Python and its data science ecosystem. Strong practical knowledge of various machine learning techniques, advanced SQL skills, and experience with data visualization tools are also essential. Preferred qualifications include experience in the PropTech or FinTech sectors, direct experience building Automated Valuation Models (AVMs), familiarity with cloud-based data platforms and ML services, and experience with MLOps principles and tools. Additionally, experience with time-series analysis, forecasting, and Natural Language Processing (NLP) techniques would be beneficial for this role.,