1565 Pandas Jobs - Page 18

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 should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. 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, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

As a Data Analyst with deep experience in the US Healthcare industry and skills around Machine Learning (ML), you will play a vital role in conducting comprehensive data analysis using statistical and exploratory methods to uncover patterns and insights that drive data-driven decision-making in the healthcare domain. Leveraging your knowledge of healthcare industry metrics such as HEDIS, CMS Star Ratings, risk adjustment models, and revenue cycle data, you will optimize analytics strategies to ensure efficient data quality, availability, and reliability for AI/ML-driven healthcare analytics solutions. Your responsibilities will include designing and maintaining data pipelines for the ingestion, transformation, and storage of claims, electronic health records (EHR), HL7/FHIR data, and real-world evidence (RWE) while ensuring compliance with HIPAA, PHI, and other regulatory requirements. Collaborating closely with data science and engineering teams, you will develop and maintain dashboards and reports that translate complex healthcare data into actionable insights for business stakeholders using visualization tools such as Streamlit, Snowflake, Power BI, or similar platforms. You will apply your expertise in healthcare cost, quality, and operational performance analytics to deliver meaningful insights and work closely with cross-functional teams, including data science, engineering, API development, and healthcare operations, to understand data needs and deliver tailored solutions. Additionally, you will engage with industry experts, attend relevant healthcare and data science conferences, and contribute to continuous learning within the team to enhance process understanding and ensure data accuracy for regulatory and business reporting. To excel in this role, you should have strong proficiency in SQL and Python, including libraries such as pandas for data manipulation and analysis. Experience with healthcare data visualization and storytelling tools, familiarity with ETL pipelines, data warehousing, and cloud platforms (AWS, Azure, GCP) for healthcare data processing, as well as knowledge of healthcare standards and regulations are essential. Experience in revenue cycle management (RCM), medical coding (ICD, CPT, DRG), and healthcare cost/utilization analytics is a plus, along with the ability to analyze complex healthcare datasets and derive meaningful insights impacting operational efficiency, patient outcomes, and cost optimization. Excellent communication and stakeholder management skills, with the ability to translate technical findings into business insights, are key to collaborating effectively with healthcare business teams, IT, and data science professionals. A curious mindset and willingness to explore new challenges and drive innovation in healthcare analytics are also important qualities for success in this role.,

You should have expert-level proficiency in Python and Python frameworks or Java. You must have hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, CloudFormation, Docker, ECS, Fargate, and ECR. Deep experience with key AWS services like 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), Monitoring (CloudWatch, X-Ray, CloudTrail), and NoSQL Databases like Cassandra, PostGreSQL is required. You should have very strong hands-on knowledge of using Python for integrations between systems through different data formats. Expertise in deploying and maintaining applications in AWS, along with hands-on experience in Kinesis streams and Auto-scaling, is essential. Designing and implementing distributed systems and microservices, and following best practices for scalability, high availability, and fault tolerance are key responsibilities. Strong problem-solving and debugging skills are necessary for this role. You should also have the ability to lead technical discussions and mentor junior engineers. Excellent written and verbal communication skills are a must. Comfort working in agile teams with modern development practices and collaborating with business and other teams to understand business requirements and work on project deliverables is expected. Participation in requirements gathering, understanding, designing a solution based on available framework and code, and experience with data engineering tools or ML platforms (e.g., Pandas, Airflow, SageMaker) are required. An AWS certification such as AWS Certified Solutions Architect or Developer is preferred. This position is based in multiple locations including Indore, Mumbai, Noida, Bangalore, Chennai in India. Qualifications: - Bachelor's degree or foreign equivalent required from an accredited institution. Consideration will be given to three years of progressive experience in the specialty in lieu of every year of education. - At least 8+ years of Information Technology experience.,

Are you prepared for an exciting opportunity to be part of a dynamic team in a challenging setting As a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, you will have a crucial role in implementing the next generation risk analytics platform. The main goal of the QRMC team is to construct models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). The QRMC team in India will play a significant role in supporting QRMC group's activities globally, collaborating closely with Front Office and Market Risk functions to create tools and utilities for model development and risk management. Your responsibilities will include working on implementing the next generation risk analytics platform, evaluating model performance, conducting back testing analysis and P&L attribution, enhancing the performance and scalability of analytics algorithms, developing mathematical models for VaR/Stress/FRTB, assessing the adequacy of quantitative models and associated risks, designing efficient numerical algorithms, and creating software frameworks for analytics delivery to systems and applications. To qualify for this role, you should hold an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, or related fields and have at least 3 years of relevant experience in Python and/or C++. Proficiency in data structures, standard algorithms, and object-oriented design is essential. Additionally, you should possess a basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG, and be interested in applying agile development practices. Strong quantitative and problem-solving skills, research skills, knowledge of basic mathematics like statistics and probability theory, good interpersonal and communication skills, and the ability to work in a team are also required. Attention to detail and adaptability are key attributes for success in this role. Preferred qualifications include experience with statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, experience with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, familiarity with advanced mathematics such as stochastic calculus, and understanding of front-end technologies like HTML, React, and integration with large data sets.,

At Velsera, we are committed to revolutionizing the pace of medicine. Established in 2023 by the collaboration of Seven Bridges and Pierian, our primary goal is to expedite the discovery, development, and dissemination of groundbreaking insights that can change lives for the better. We specialize in offering cutting-edge software solutions and professional services that cater to various aspects of the healthcare industry, including: - AI-powered multimodal data harmonization and analytics for drug discovery and development - IVD development, validation, and regulatory approval - Clinical NGS interpretation, reporting, and adoption Headquartered in Boston, MA, we are in a phase of rapid growth, with teams expanding across different countries to meet the increasing demands of our clients. As a Python Developer at Velsera, your responsibilities will include: - Development: Crafting clean, efficient, and well-documented Python code to fulfill project requirements - API Development: Creating RESTful APIs and integrating third-party APIs when necessary - Testing: Composing unit tests and integration tests to ensure high code quality and functionality - Collaboration: Collaborating closely with cross-functional teams to implement new features and enhance existing ones - Code Review: Participating in peer code reviews and offering constructive feedback to team members - Maintenance: Debugging, troubleshooting, and enhancing the existing codebase to boost performance and scalability. Proactively identifying technical debt items and proposing solutions to address them - Documentation: Maintaining detailed and accurate documentation for code, processes, and design - Continuous Improvement: Staying updated with the latest Python libraries, frameworks, and industry best practices. To excel in this role, you should bring: - Experience: A minimum of 6 years of hands-on experience in Python development - Technical Skills: Proficiency in Python 3.x, familiarity with popular Python libraries (e.g., NumPy, pandas, Flask, boto3), experience in developing lambda functions, strong understanding of RESTful web services and APIs, familiarity with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB), knowledge of version control systems (e.g., Git), experience with Docker and containerization, experience with AWS services such as ECR, Batch jobs, step functions, cloud watch, etc., and experience with Jenkins is a plus - Problem-Solving Skills: Strong analytical and debugging skills with the ability to troubleshoot complex issues - Soft Skills: Strong written and verbal communication skills, ability to work independently and collaboratively in a team environment, detail-oriented with the capacity to manage multiple tasks and priorities. Preferred skills include experience working in the healthcare or life sciences domain, strong understanding of application security and OWASP best practices, hands-on experience with serverless architectures (e.g., AWS Lambda), proven experience in mentoring junior developers and conducting code reviews. Velsera offers a range of benefits, including a Flexible & Hybrid Work Model to support work-life balance and an Engaging & Fun Work Culture that includes vibrant workplace events, celebrations, and engaging activities to make every workday enjoyable.,

Do you want to be a part of a team that is revolutionizing the global economy Join the dynamic Data & Decision Science (D&DS) team at C2FO, a leading online platform for working capital with a presence in over 160 countries and serving more than $10.5 trillion in annual sales. Based in Kansas City, C2FO has a global workforce of over 500 employees and operates in various regions including Europe, India, Asia Pacific, and Australia. At C2FO, we prioritize the quality of our technical solutions and are committed to building innovative solutions to address business challenges effectively. We also place a strong emphasis on maintaining a healthy work-life balance and fostering a culture of continuous learning. Our team encourages participation in hackathons, book clubs, and supports a remote-first work environment, ensuring that your voice is heard and your contributions make a real impact. The Data & Decision Science team at C2FO is a multifaceted and collaborative group consisting of Data Engineering, Data Science & Analytics, Data Operations, and Business Intelligence pillars. With a presence in India and the US, our team plays a crucial role in driving C2FO's global growth by developing scalable data solutions and promoting data-driven innovation. As a Senior Data Scientist at C2FO, you will have the opportunity to work on a diverse set of challenges ranging from traditional machine learning applications like forecasting and credit scoring to cutting-edge uses of large language models (LLMs) for customer engagement and retention. You will operate in a fast-paced environment that values initiative, ownership, and curiosity. Key Responsibilities: - Develop machine learning models and scalable data solutions for critical business problems such as dynamic discounting, customer retention, and credit scoring - Design and iterate on minimum viable products (MVPs) to address real business pain points - Collaborate across teams to translate complex business challenges into data science problems - Ensure data validation and quality by working closely with Data Engineering and Data Governance teams - Conduct in-depth analyses to derive actionable insights from complex datasets - Foster a culture of learning, innovation, and experimentation Qualifications: - 5+ years of hands-on experience in data science or applied machine learning - Proficiency in mathematics, statistics, and machine learning concepts - Experience deploying machine learning models in production environments - Strong skills in Python, SQL, Pandas, and relevant data manipulation tools - Familiarity with libraries such as Scikit-learn, XGBoost, PyTorch, etc. - Experience in hypothesis testing and experimentation frameworks - Strong problem-solving, communication, and stakeholder management abilities - Bonus: Background in fintech or financial services At C2FO, we prioritize the well-being of our employees and offer a comprehensive benefits package, flexible work options, volunteer time off, and more. We are committed to fostering diversity and inclusion, empowering our team members to bring their authentic selves to work and contribute to our shared success. Join us in creating a workplace that reflects the diversity of our communities and clients worldwide.,

As an AI/ML/NLP Developer with at least 3 years of experience, you will be responsible for designing, developing, and optimizing machine learning models tailored specifically for Natural Language Processing (NLP) and Optical Character Recognition (OCR) applications. Your role will involve building and maintaining a diverse range of classification and regression models using libraries like Scikit-learn and other relevant machine learning frameworks. You will also be utilizing deep learning architectures, such as Convolutional Neural Networks (CNN), Region-based Convolutional Neural Networks (R-CNN), and Long Short-Term Memory networks (LSTM), to create advanced AI models. Moreover, you will work extensively with NLP libraries like SpaCy, NLTK, and Transformers, focusing on tasks like language modeling, text processing, and information extraction. Your proficiency in Python programming is crucial, along with deep practical experience in core Python libraries for data science including NumPy, Scikit-learn, and Pandas. A solid foundational understanding of Machine Learning principles and techniques, encompassing supervised and unsupervised learning methodologies, as well as regression, is essential for this role. Preferred qualifications include experience with major cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure for deploying machine learning models and applications. Exposure to MLOps practices and automated model deployment will be an added advantage. Join smartData, a global leader in software business consulting and technology integrations, dedicated to simplifying and securing business operations for start-ups and small to medium enterprises. With over 20 years of experience and 8000+ projects, smartData offers domain and technology consulting, in-house products, and unique productized services that act as business integrators, accelerating time to market for customers. Operating from the US, Australia, and India, smartData ensures continuous business growth for its clients through round-the-clock connectivity and next-door assistance. Specializing in healthcare, B2B, B2C, B2B2C platforms, online delivery services, video platform services, and IT services, smartData leverages expertise in Microsoft, LAMP stack, MEAN/MERN stack, and a mobility-first approach to meet customer needs efficiently. By integrating AI & ML technologies with mobility stacks, such as native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, Phone Gap), smartData delivers ongoing solutions tailored to customer requirements.,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,

As an AI Manager, you will be responsible for leading the design, development, and deployment of GenAI solutions to support our cutting-edge analytics platforms. Your role will involve mentoring a team of 35 AI engineers, cultivating a culture of collaboration and growth. You will oversee the entire architecture process, from conceptualization and LLM fine-tuning to deploying and monitoring GenAI applications on cloud platforms for financial analytics. Your tasks will include implementing agentic AI design patterns, utilizing frameworks like Autogen, LangGraph, CrewAI, or creating customized agentic architectures. You will integrate advanced GenAI frameworks, leveraging technologies such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) for complex analytic workflows. Ensuring seamless integration with various databases like vector databases, NoSQL, and SQL for efficient data ingestion and retrieval will be crucial. Collaboration with product leaders, data scientists, and engineering teams is essential to deliver user-centric and enterprise-grade AI features. You will be a proponent of best practices in pipeline automation, model evaluation, ethical AI usage, and continuous system enhancement. Additionally, your engagement in open-source contributions on platforms like GitHub or Kaggle will be highly appreciated. In terms of qualifications, you should hold a bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field. With 9 to 12 years of experience in machine learning and computer vision, emphasizing large language models, you should be proficient in Python and its data science libraries like pandas, numpy, TensorFlow, pytorch, HuggingFace, LangChain, or Haystack. Demonstrating sound coding principles and familiarity with RAG practices and SLM fine-tuning are required skills. Experience in deploying and managing data science solutions on cloud services such as Azure, AWS, or GCP is essential. Proficiency in sourcing data from SQL and NoSQL databases is necessary, along with basic database knowledge. Possessing a Kaggle profile that showcases your expertise will be advantageous. Strong communication and presentation skills are mandatory, as well as the ability to balance independent and collaborative work in a fast-paced environment. Ideally, your educational background should include a bachelor's or master's degree from premier Indian institutes like IITs, IISc, NITs, BITS, IIITs, etc., in disciplines such as Computer Science, any Engineering field, Mathematics, or related quantitative areas.,

The role involves supporting the European ESG team in focusing on thematic trends across regional & sectoral aggregates and individual stocks related to Environment, Social, and Governance guidelines. As part of this role, your primary responsibilities will include developing and maintaining excel models to assess fund ownership for Global companies, sectors, and regions. You will be required to conduct thorough data quality checks on third party ESG data using financial databases and company filings to ensure the reliability of data for modeling purposes. Additionally, creating, updating, and managing comprehensive Excel databases on ESG data will be part of your routine tasks. You will also be involved in assisting the team in conducting back-tests of ESG related strategies, utilizing quantitative techniques to analyze historical and future trends. Furthermore, you will contribute to research report writing and summarizing peer research on thematic topics, primarily related to investment strategy for ESG investors. Supporting the onshore team on a daily basis, handling ad-hoc requests, and analyzing macro-level ESG trends for thematic reports will also be within your scope of work. The ideal candidate for this role would be proactive, possess experience in top-down macro research, have basic knowledge of Python coding, and demonstrate a keen interest in working within the ESG domain. Key skills required include advanced proficiency in MS Excel and report writing. Prior experience with VBA macros and Python, especially with libraries such as Numpy, Pandas, and Matplotlib, is preferred. Additionally, familiarity with financial databases like Bloomberg Finance LP, Datastream Eikon, or similar platforms, along with knowledge of various company filings, is desirable. A fundamental understanding of finance, including valuations, financial ratios, and the ability to extract data from company filings, would be beneficial for this role.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

As a Software Engineer - Python Lead in our Noida team, you will play a key role in designing, developing, and maintaining web applications using Python and Django framework. Your expertise in REST API integration and GraphQL services will be crucial for efficient data exchange. Collaborating with the data science team, you will work on Machine Learning concepts, NLP, and Large Language Models (LLMs), utilizing libraries like Pandas, NumPy, and Scikit-learn. You will also be responsible for managing databases using PostgreSQL and ensuring smooth asynchronous communication with message-brokering systems like RabbitMQ. Troubleshooting, debugging, and optimizing code for performance improvements will be part of your daily tasks. We are seeking a candidate with a Bachelor's degree in Computer Science, Engineering, or a related field, along with 2 to 4 years of professional experience in Python software development. Your proven experience with Django, REST API integration, and GraphQL, coupled with exposure to Machine Learning, NLP, and AI-related technologies, will be highly valuable. Strong problem-solving skills, excellent communication abilities, attention to detail, and a collaborative team spirit are qualities we are looking for in our ideal candidate. If you are passionate about working with cutting-edge technologies and contributing to innovative projects, while ensuring high performance and scalability in your code, we encourage you to apply. An attractive salary package with health insurance, paid sick time, and Provident Fund benefits awaits the successful candidate. Join us in the morning shift at our Noida location and be part of our dynamic team driving technological advancements. Kindly share your resume with us at pooja@jmsadvisory.in to explore this exciting opportunity further.,

You'll need to have: Bachelors degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Six or more years of professional experience in data science, machine learning, or a related role. Expert-level hands-on proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib). Deep theoretical and practical knowledge of a wide range of machine learning algorithms (e.g., classification, regression, clustering, ensemble methods) and deep learning. Proven hands-on experience developing and deploying Generative AI solutions, with a strong understanding of LLMs, transformers, and vector databases. Experience with Multi-Modal RAG systems (handling text, images, and other data types). Strong proficiency in SQL for complex data extraction, manipulation, and analysis on large-scale datasets. Hands-on experience with cloud computing platforms, specifically Google Cloud Platform (GCP) and its AI/ML services. Even better if you have: A Master’s or Ph.D. in a relevant quantitative field. Practical experience in developing AI agents using frameworks like LangChain, Agent Development Kit (ADK), or LlamaIndex. Experience in designing and implementing robust LLM evaluation metrics and frameworks (e.g., RAGAS, ARES, TruLens) Experience with voice and speech technologies, such as Speech-to-Text (STT), Text-to-Speech (TTS), and building conversational AI or voicebot systems. Experience with MLOps/LLMOps principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines for models, MLflow). GCP Professional Machine Learning Engineer certification.

Roles And Responsibilies Design, develop, and maintain scalable web applications and APIs using Django, Flask, and FastAPI . Write clean, efficient, and maintainable Python code following best practices. Develop RESTful services and integrate with front-end components. Work with NumPy and pandas for data manipulation and processing as needed. Optimize application performance and ensure scalability. Collaborate with cross-functional teams including front-end developers, designers, and product managers. Write and maintain comprehensive technical documentation. Perform code reviews and mentor junior team members.

As a Senior Azure Data Engineer, your responsibilities will include: Building scalable data pipelines using Databricks and PySpark Transforming raw data into usable business insights Integrating Azure services like Blob Storage, Data Lake, and Synapse Analytics Deploying and maintaining machine learning models using MLlib or TensorFlow Executing large-scale Spark jobs with performance tuning on Spark Pools Leveraging Databricks Notebooks and managing workflows with MLflow Qualifications: Bachelors/Masters in Computer Science, Data Science, or equivalent 7+ years in Data Engineering, with 3+ years in Azure Databricks Strong hands-on in: PySpark, Spark SQL, RDDs, Pandas, NumPy, Delta Lake Azure ecosystem: Data Lake, Blob Storage, Synapse Analytics Contract Position Location Remote Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with programming languages such as Python or R for data analysis.- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.- Knowledge of data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and best practices within the team and across departments.- Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to effectively communicate insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

1. Backend Development Design, develop, and maintain scalable backend systems using Python (typically with Django, Flask, or FastAPI). Build APIs (RESTful or GraphQL) to support frontend and mobile applications. 2. Database Management Work with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases. Write optimized queries and manage database migrations and integrations. 3. Integration & Automation Integrate third-party APIs and internal services. Automate repetitive tasks using Python scripts (e.g., data ingestion, report generation). 4. Testing & Debugging Write unit, integration, and functional tests using frameworks like PyTest or Unittest. Debug issues across the stack and ensure clean, maintainable code. 5. Code Review & Documentation Participate in code reviews and maintain documentation for features and services. Ensure adherence to coding standards and best practices. 6. Collaboration Work closely with frontend developers, DevOps, and product teams in an Agile/Scrum environment. Participate in daily stand-ups, sprint planning, and retrospectives. 7. Deployment & DevOps (Optional but Preferred) Familiarity with Docker, CI/CD pipelines, and cloud services (AWS, GCP, or Azure). Deploy and monitor Python applications in a production environment.

Key Responsibilities: Lead the AI development team, providing technical guidance and mentorship. Architect and develop scalable AI and machine learning models tailored to business needs. Collaborate with product managers, data engineers, and stakeholders to define AI project requirements. Drive innovation by researching and implementing state-of-the-art AI/ML algorithms and technologies. Oversee end-to-end AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Ensure AI solutions adhere to best practices in ethics, fairness, and data privacy. Optimize models for performance, scalability, and interpretability. Manage code quality through reviews, testing, and documentation. Stay updated with emerging trends and integrate relevant advances into projects. Coordinate cross-functional teams to integrate AI capabilities into products.

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Responsibilities: * Implement parsers for data extraction * Use AI/ML to enhance profile library * Use DPI to identify useful data for classification * Collect data through probes for device classification * Collaborate w/ cross-func teams for AI/ML Provident fund Health insurance

**APPLICABLE ONLY FOR IMMEDIATE JOINERS** Job Specification Job Title: Python Microservices +AI Experience: 5+ Years Location: Gurgaon (5 days WFO) Job Summary: We are seeking a Senior Python Developer with strong expertise in building microservices-based architectures and integrating AI/ML models into scalable applications. The ideal candidate will be proficient in Python , FastAPI/Flask/Django , and experienced in machine learning model deployment using tools like TensorFlow , PyTorch , or MLflow . You will work closely with data scientists, DevOps, and engineering teams to deliver intelligent, production-ready systems. Key Responsibilities: Microservices Development: Design, develop, and deploy Python-based microservices using FastAPI , Flask , or Django REST Framework . Build and maintain RESTful APIs and event-driven services. Ensure service reliability, scalability, and fault tolerance using modern design patterns. Integrate services with message brokers (Kafka, RabbitMQ) and databases (SQL and NoSQL). Work with DevOps to automate builds, testing, deployment, and monitoring (CI/CD pipelines). AI/ML Integration: Collaborate with data science teams to deploy and serve ML models in production. Build APIs and pipelines for real-time or batch inference using tools like TensorFlow Serving , TorchServe , SageMaker , or ONNX . Manage model lifecycle: versioning, A/B testing, rollback, logging, and monitoring. Ensure low-latency performance and robustness in AI model consumption. Key Skills: Python 3.x , FastAPI , Flask , or Django REST Framework Microservices architecture , API development , containerization AI/ML integration : TensorFlow, PyTorch, Scikit-learn, TorchServe, MLflow Model deployment via REST/gRPC or containerized solutions Docker , Kubernetes , CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) Cloud platforms : AWS (SageMaker, Lambda, ECS), Azure, or GCP Databases : PostgreSQL, MongoDB, Redis Message brokers : Kafka, RabbitMQ, or similar Monitoring/logging : Prometheus, Grafana, ELK Stack, Sentry Version control : Git Preferred Qualifications: Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) Familiarity with data pipelines and feature stores Knowledge of API security , rate limiting , and token-based authentication (OAuth2, JWT) Experience working with asynchronous frameworks (e.g., asyncio, Celery) Exposure to AI-powered products such as chatbots, NLP engines, recommender systems, etc. Educational Background: Bachelors or Masters degree in Computer Science, Engineering, AI/ML, or a related field.

Job Title: Python Microservices Developer with AI Integration Experience: 5+ Years Location: Gurugram, India Job Type: Full-Time Work Mode: Onsite Job Overview: We are seeking a highly skilled Python Developer with experience in building microservices-based architectures and integrating AI/ML models into enterprise systems. The ideal candidate will work closely with data scientists, DevOps, and backend teams to create intelligent, scalable, and production-ready systems. Key Responsibilities: Design, develop, and deploy robust Python microservices for high-performance applications Collaborate with AI/ML teams to integrate trained models into microservices for real-time inference Build and maintain RESTful APIs to expose microservices and AI features Ensure high availability, performance, and security of microservices in production Optimize data pipelines and backend processes for scalability Participate in code reviews, architecture discussions, and agile ceremonies Monitor and troubleshoot microservices in production environments Required Skills & Experience: 5+ years of professional experience with Python and microservices architecture Strong knowledge of FastAPI , Flask , or Django REST Framework Experience deploying or integrating AI/ML models (e.g., scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face) Familiarity with containerization and orchestration tools like Docker and Kubernetes Hands-on experience with REST APIs , JSON , and message queues (Kafka/RabbitMQ) Experience working with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines Proficient in using databases (SQL & NoSQL PostgreSQL, MongoDB, etc.) Preferred Qualifications: Exposure to AI/ML model deployment , model versioning, and inference best practices Experience using MLflow , Airflow , or similar workflow tools Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack Strong understanding of software design principles and performance optimization

Senior Automation Engineer: 5 to 8 years Have you got what it takes? Experience in testing AI agents, chatbots Experience of AWS platform Testing knowledge on LLMs is preferred Good knowledge of Python What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.