1583 Pandas Jobs - Page 23

Work Mode Hybrid ( 3 Days working from office) Location Noida/Gurgaon/Bangalore/Pune Shift UK Shift We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelors or masters degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills.

if anyone intrested who is an immediate joiner or serving notice period is below 15 days, please DONOT CALL ME ,ONLY WHATSAPP ME me your details with resume -9003993690 or send me your resume with the below email id -sushma.v@bct-consulting.com • Team player who promotes communication between stakeholders 5+ years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity. Expertise in Oracle database and SQL programming Proficiency in writing Python programming Good knowledge for development using Python data frames Working experience on PySpark Strong problem-solving skills Excellent communication and collaboration skills Ability to work independently and as part of a team Experience in implementing DevOps practices Experience with data modeling and database design Implementation knowledge in EDA, Machine learning (models as linear regression, logistic regression/classification, KNN, SVM etc.), Deep learning (NLP, Computer vision, GAN, Neural networks), Reinforcement learning, Statistical learning, MLOps is added advantage Knowledge of data visualization Stay up-to-date with emerging trends and technologies in data engineering and recommend new tools and techniques to improve our data infrastructure

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing.Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop.4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"s Audit plan for the calendar year." To assist the Team Supervisor Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor." Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies." Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.)" Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss agree with management for effective and timely remediation plans." Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries" Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.)" Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach." Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles]Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes." Person who can work alone, close audits and manage stakeholders" Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"s degree mandatory)." A Bachelor"s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas:" Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. " Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

Calfus is a Silicon Valley headquartered software engineering and platforms company that seeks to inspire its team to rise faster, higher, stronger, and work together to build software at speed and scale. The company's core focus lies in creating engineered digital solutions that bring about a tangible and positive impact on business outcomes while standing for #Equity and #Diversity in its ecosystem and society at large. As a Data Engineer specializing in BI Analytics & DWH at Calfus, you will play a pivotal role in designing and implementing comprehensive business intelligence solutions that empower the organization to make data-driven decisions. Leveraging expertise in Power BI, Tableau, and ETL processes, you will create scalable architectures and interactive visualizations. This position requires a strategic thinker with strong technical skills and the ability to collaborate effectively with stakeholders at all levels. Key Responsibilities: - BI Architecture & DWH Solution Design: Develop and design scalable BI Analytical & DWH Solution that meets business requirements, leveraging tools such as Power BI and Tableau. - Data Integration: Oversee the ETL processes using SSIS to ensure efficient data extraction, transformation, and loading into data warehouses. - Data Modelling: Create and maintain data models that support analytical reporting and data visualization initiatives. - Database Management: Utilize SQL to write complex queries, stored procedures, and manage data transformations using joins and cursors. - Visualization Development: Lead the design of interactive dashboards and reports in Power BI and Tableau, adhering to best practices in data visualization. - Collaboration: Work closely with stakeholders to gather requirements and translate them into technical specifications and architecture designs. - Performance Optimization: Analyse and optimize BI solutions for performance, scalability, and reliability. - Data Governance: Implement best practices for data quality and governance to ensure accurate reporting and compliance. - Team Leadership: Mentor and guide junior BI developers and analysts, fostering a culture of continuous learning and improvement. - Azure Databricks: Leverage Azure Databricks for data processing and analytics, ensuring seamless integration with existing BI solutions. Qualifications: - Bachelors degree in computer science, Information Systems, Data Science, or a related field. - 6-12 years of experience in BI architecture and development, with a strong focus on Power BI and Tableau. - Proven experience with ETL processes and tools, especially SSIS. Strong proficiency in SQL Server, including advanced query writing and database management. - Exploratory data analysis with Python. - Familiarity with the CRISP-DM model. - Ability to work with different data models. - Familiarity with databases like Snowflake, Postgres, Redshift & Mongo DB. - Experience with visualization tools such as Power BI, QuickSight, Plotly, and/or Dash. - Strong programming foundation with Python for data manipulation and analysis using Pandas, NumPy, PySpark, data serialization & formats like JSON, CSV, Parquet & Pickle, database interaction, data pipeline and ETL tools, cloud services & tools, and code quality and management using version control. - Ability to interact with REST APIs and perform web scraping tasks is a plus. Calfus Inc. is an Equal Opportunity Employer.,

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering by assisting clients in designing and developing cutting-edge products, content and commerce platforms, and digital experiences. Our focus lies in leveraging AI, Cloud, and Mobile technologies to create solutions that drive digital transformation through a design-led approach. By combining strategic design, engineering expertise, and industry knowledge, we empower our clients to navigate the digital landscape and accelerate their growth. With our headquarters in Silicon Valley, ACL Digital is a prominent player in design-led digital experiences, innovation, enterprise modernization, and product engineering services tailored for the Technology, Media & Telecom sectors. With over 50,000 employees worldwide and a presence in more than 30 countries, ALTEN Group fosters a multicultural work environment that values collaboration and knowledge sharing. In India, we operate from various locations including Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a potential candidate for the position, you are expected to possess the following technical skills and competencies: - 4-5 years of relevant experience in the field - Preferred training/certification in Data Science/Machine Learning - Ability to collaborate effectively with technical leads - Strong communication skills with the capability to synthesize conclusions - Proficiency in Data Science concepts and Machine Learning algorithms using tools like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Falsk framework, Docker, Virtual Environment, and Database Operations - Strong analytical and problem-solving abilities - Capacity to excel in a dynamic environment with varying degrees of ambiguity Your role will involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, and statistical techniques to conduct experiments and derive meaningful insights from data - Understanding business use-cases and collecting annotated datasets from various sources to address specific problems - Possessing a robust academic background with analytical skills and exposure to machine learning and information retrieval technologies - Strong programming skills, particularly in languages like Python, C/C++ - Extracting data from primary and secondary sources, performing data tagging, filtering, and cleaning based on business requirements - Managing a well-defined, structured, and clean database - Utilizing data labeling tools to annotate data for machine learning models - Analyzing data using statistical techniques, conducting exploratory analysis, and interpreting results effectively If you are someone who thrives in a fast-paced environment, enjoys solving complex problems, and has a passion for leveraging data to drive innovation, we welcome you to explore this opportunity with us. Warm Regards, Komal Narole,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

You will be joining InnovaESI as a ML Engineer/Data Scientist in Bengaluru, in a full-time hybrid role. Your responsibilities will include working on pattern recognition, neural networks, algorithms, and utilizing statistical methods to deliver comprehensive data solutions. While your primary location will be in Bengaluru, there is also flexibility for remote work. To excel in this role, you should have a strong background in Computer Science and Algorithms, proficiency in Pattern Recognition and Neural Networks, knowledge of Statistics and its application in data analysis, as well as experience working with complex algorithms and data models. Collaborating effectively in cross-functional teams and possessing advanced degrees in Computer Science, Data Science, or related fields are also essential qualifications. Additionally, a deep understanding of machine learning and NLP, coupled with commercial experience in building and deploying LLM solutions, will be beneficial. You should have 4-8 years of relevant experience, exceptional coding abilities (preferably in Python), and familiarity with ML tools and libraries like TensorFlow, PyTorch, pandas, scikit-learn, among others. Furthermore, a strong understanding of MLOps best practices with experience in deploying LLM applications to production at scale is required. Being a problem solver and self-starter is key; you should enjoy tackling challenging problems independently and within a collaborative team environment. Strong communication skills to explain complex technical concepts to non-technical stakeholders are also crucial. If you are passionate about leveraging your expertise in ML and data science to drive digital transformation, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

As a Backend Developer at Maitri AI, you will be responsible for developing, optimizing, and maintaining backend services using FastAPI. Your primary focus will be on implementing API authentication, authorization, and security best practices. You will work with SQLAlchemy for ORM-based database management and design, query, and optimize databases using MySQL. Utilizing NumPy and Pandas for data processing and transformation will be essential in your day-to-day tasks. Collaboration with frontend developers to seamlessly integrate APIs, as well as implementing and maintaining CI/CD workflows with GitHub, will be part of your responsibilities. You will have the opportunity to research and integrate Machine Learning and Generative AI solutions such as Gemini AI and OpenAI. Troubleshooting and resolving backend-related issues will also be a key aspect of your role. To succeed in this position, you should have at least 2 years of experience in backend development and hold a Bachelor's degree in Computer Science, Information Technology, or a related field. Proficiency in Python, FastAPI, SQLAlchemy, and MySQL databases is required. A strong understanding of API authentication and security principles, experience with GitHub for version control, and familiarity with NumPy and Pandas are essential. Preferred skills for this role include experience with Machine Learning and Generative AI models, knowledge of containerization technologies like Docker, and exposure to cloud services such as AWS, GCP, or Azure. By joining our team, you will have the opportunity to work on cutting-edge AI and backend projects, enjoy a competitive salary and benefits, and be part of a collaborative work environment that encourages learning and growth. If you are passionate about AI and technology, eager to contribute to innovative projects, and meet the qualifications mentioned above, we would love to have you on board as a valuable member of our team.,

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

As a Python Backend Developer, you will play a crucial role in executing end-to-end application deliveries and ensuring their successful deployment to production while maintaining high quality standards. Your passion for building flexible and scalable solutions, coupled with meticulous attention to detail and ability to evaluate solutions effectively, will be key in this role. In this position, you will be responsible for designing and developing major software components, systems, and features for the Next Gen Rule Engine & Risk Platform for Digital Lending. Additionally, you will guide junior team members, create interfaces, integrate with other applications and databases, as well as handle debugging and troubleshooting of any issues that may arise. From a technical perspective, you are expected to have strong Python programming skills and a solid understanding of developing applications using Flask or Django. Expertise in developing REST framework applications utilizing both SQL and NoSQL databases is essential. Experience in web Restful APIs and microservices development, along with deploying applications on cloud platforms like AWS, will be highly beneficial. Proficiency in using Python Data Libraries such as Numpy and Pandas is desired, as well as any experience with message queues like Redis or Kafka. Knowledge of fundamental front-end languages like HTML, CSS, and JavaScript, along with familiarity with frontend frameworks, will be advantageous. Experience in web scraping using tools like Scrapy or Selenium would also be a valuable asset. On the non-technical side, strong logical and analytical skills, along with effective communication abilities, are important aspects of this role. Additionally, you will be responsible for handling and managing a small-sized team, showcasing your leadership and team management skills. This role presents an exciting opportunity for a motivated individual who is eager to contribute to the development of cutting-edge solutions in the field of digital lending. If you are looking to leverage your Python development expertise and take on a challenging yet rewarding role, this position could be the perfect fit for you.,

Are you a skilled professional with experience in SQL, Python (Pandas & SQLAlchemy), and data engineering We have an exciting opportunity for an ETL Developer to join our team! As an ETL Developer, you will be responsible for working with various technologies to extract, transform, and load data. You will play a key role in supporting on-call challenges and ensuring the smooth operation of data pipelines. Required Qualifications: - Bachelors degree in Computer Science or related field or equivalent work experience - 5+ years of experience working with MS SQL - 3+ years of experience with Python (Pandas, SQLAlchemy) - 3+ years of experience supporting on-call challenges Key Skills: - SQL Expertise: You should have at least 5 years of experience running SQL queries on multiple disparate databases to stitch together data for insights. - Python Experience: With 3+ years of experience working with large data sets (2M+ rows) using Python, Pandas, SSIS, or similar tools. - SQL Tuning: Proficient in MS SQL tuning and a solid understanding of SQL queries. - Data Debugging: Solid knowledge of Python (Pandas, SQLAlchemy, Spark) and experience in code debugging, logs, and root cause analysis (RCA). - Agile Experience: Comfortable working in an agile environment and collaborating across teams. - Source Control: Familiarity with GitLab, GitHub, and source code repositories. - Database Management: Ability to create and maintain databases for development, testing, education, and production. - Data Insights: Experience interpreting complex data and providing actionable insights for business goals. - Cloud & Spark: Familiarity with Azure, ADF, Spark, and Scala concepts is a plus. If you're passionate about data, have a strong problem-solving mindset, and enjoy working in a collaborative environment, we want to hear from you! Interested Apply now by sending your resume to samdarshi.singh@mwidm.com or contact us at +91 62392 61536.,

Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Required Candidate profile Knowledge of Python and related frameworks including Django and Flask. A deep understanding and multi-process architecture and the threading limitations of Python. Perks and benefits Flexible Work Arrangements.

Hi, Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is one of our leading MNC client. PFB the details for your better understanding: WORK LOCATION: Bangalore Job Role: Python AIML Developer EXPERIENCE: 5 Yrs - 14 Yrs CTC Range: 25 LPA -35 LPA Work Type: WFO All 5 Days Responsibilities: Expertise in Python: Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. Implement efficient algorithms and data structures to handle complex calculations and data processing. Integrate with various databases and third-party APIs for data access and functionality. Ensure code quality through unit testing, code reviews, and best practices. Analyze and understand raw data & Develop data pipelines to wrangle data ML model development and algorithm design. Interpret trends and patterns, visualization tool, python graph libs. Good knowledge of python, DS, Pandas, Scykit, NumPy, TensorFlow, keras, etc. Open AI, GCP - AI services (vertex AI, etc.), Azure - AI services, Aws- AI services, MLops, NLP. Contribute to CI/CD pipelines for automated deployments and testing using Kubernetes. Application of opensource and commercial large language models (Desired) Application of machine learning algorithms and techniques for natural language processing. (Desired) If interested, kindly APPLY for IMMEDIATE response Thanks & Rgds SHOBANA GSN | Mob : 8939666294 (Whatsapp) | Email :Shobana@gsnhr.net | Web : www.gsnhr.net Google Reviews : https://g.co/kgs/UAsF9W

Immediate Joiners Only Role & responsibilities 6+ years of experience with Snowflake (Snowpipe, Streams, Tasks) Strong proficiency in SQL for high-performance data transformations Hands-on experience building ELT pipelines using cloud-native tools Proficiency in dbt for data modeling and workflow automation Python skills (Pandas, PySpark, SQLAlchemy) for data processing Experience with orchestration tools like Airflow or Prefect

We're hiring a skilled professional for exciting Python & AI projects! Responsibilities : Build & maintain Python apps with AI Integration Handle diverse projects Crack client interviews Switch contexts with ease

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

As a Machine Learning Engineer at our company based in Coimbatore, Tamil Nadu, India, your primary responsibility will be to design, implement, and deploy machine learning models. You will work closely with data scientists to transition prototypes into production-ready systems. Managing and automating the end-to-end machine learning lifecycle will be a key part of your role. Your duties will include implementing continuous integration and continuous deployment (CI/CD) pipelines customized for machine learning workflows. Monitoring the real-time performance of deployed models, managing model drift, and executing retraining strategies will also be crucial aspects of your responsibilities. Ensuring reproducibility, traceability, and versioning for machine learning models and datasets will be essential. Additionally, you will be tasked with optimizing the machine learning infrastructure for enhanced performance, scalability, and cost-efficiency. It will be important to stay abreast of the latest trends and tools in the field of machine learning and MLOps to continuously improve our practices. To excel in this role, you will need strong programming skills, particularly in Python, along with familiarity with ML frameworks such as TensorFlow and PyTorch. Experience with data processing tools like Pandas and Scikit-learn, as well as CI/CD tools like Jenkins or GitLab CI, will be beneficial. Proficiency in containerization technologies like Docker, orchestration tools like Kubernetes, and ML model versioning tools like MLflow or DVC is also desired. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure and their ML deployment services will be advantageous. The ideal candidate will have previous experience in a machine learning or data science role, along with expertise in advanced monitoring and logging tools tailored for ML models. Possessing certification or training in MLOps, machine learning, or related fields, as well as a background in software development or software engineering, will be beneficial. Familiarity with CRM & ERP systems and their data structures, along with a strong understanding of the latest machine learning trends and techniques, is highly valued. In this role, you will have the opportunity to work with a team of smart individuals in a friendly and open culture. There are no cumbersome managers or unnecessary tools to deal with, and rigid working hours are not a part of our work environment. You will have real responsibilities and the chance to expand your knowledge across various business sectors. By creating content that benefits our users on a daily basis, you will face real challenges in a rapidly evolving company environment.,

As a Machine Learning Engineer at our company located in Coimbatore, Tamil Nadu, India, you will play a crucial role in developing, validating, and implementing machine learning models and algorithms. Your main responsibilities will include analysing large and complex datasets to derive actionable insights and collaborating with cross-functional teams to seamlessly integrate models into our products and services. It will be essential for you to stay updated with the latest techniques in statistical modeling and machine learning to ensure we are leveraging cutting-edge technologies. To excel in this role, you must have proven experience in machine learning algorithms and statistical modeling. Proficiency in Python is a must, along with familiarity with data science libraries such as TensorFlow, Scikit-learn, and Pandas. Additionally, experience with cloud platforms is required, with expertise in Google Cloud being preferred, though experience with AWS or Azure is also valuable. Your strong analytical and problem-solving skills will be put to the test, and your excellent communication abilities will be crucial in explaining complex models to non-technical stakeholders. In addition to the technical requirements, having previous experience in ERP systems and familiarity with big data technologies like Hadoop and Spark will be advantageous. An advanced degree in Computer Science, Statistics, or a related field is also a key qualification for this position. What makes this job great is the opportunity to work with a team of smart individuals in a friendly and open culture. You will not have to deal with micromanagement or cumbersome tools, and rigid working hours will not be a concern. At our company, you will have real responsibilities and the chance to expand your knowledge across various business industries. Your work will involve creating content that directly impacts our users on a daily basis, presenting you with real responsibilities and challenges in a fast-evolving company. Join us in this exciting role where you can contribute to cutting-edge machine learning projects and be part of a dynamic and innovative team.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

You have hands-on experience with Python libraries such as Pandas, Numpy, and OpenPyxl. Additionally, you have worked with Python libraries across multiple document types including excel, csv, pdf, and images. Your expertise includes working with large data sets, conducting data analysis, and generating ETL and EDA analysis reports. With over 5 years of experience in programming languages such as Python (mandatory), Java, and C/C++, you possess a strong foundation in Azure Paas and Iaas services. Your experience extends to services like Azure function app, Kubernetes services, storage account, and keyvault. You are familiar with databases such as SQL and NoSQL. In this role, you will be responsible for developing methodologies for data analysis, data extraction, data transformations, and preprocessing of data. You will deploy applications and packages in Azure environments, write scalable code using Python, and test and debug applications. Additionally, you will develop back-end components and integrate user-facing elements using server-side logic. Your problem-solving and analytical skills are excellent, and you are adept at using complex troubleshooting methods. You have the ability to work effectively in ambiguous situations and possess strong presentation, verbal, and written communication skills.,

As a Manufacturing Data Analyst at our high-growth company, you will be responsible for understanding manufacturing data from clients, devising strategies to address pain points, and enhance business value. Your role will involve data exploration, analysis, and automation of data cleaning tasks. You will collaborate closely with the data science and product teams to derive valuable insights from client data. You should hold a Bachelor's or Master's degree in engineering, mathematics, Mechanical/Aerospace Engineering, and possess 4-6 years of experience working with renowned manufacturing/aerospace/automotive/consumer product companies. Proficiency in working with spreadsheets and processing large volumes of data is essential, along with experience in Python (Pandas)/R. In this role, you will be expected to understand and define relationships among entities in manufacturing data, interpret technical statements, and engage in tasks ranging from understanding business objectives to data manipulation and web scraping solutions. Collaboration with stakeholders such as machine learning engineers, data scientists, data engineers, and product managers will be a key aspect of your responsibilities. We are looking for individuals who are entrepreneurial, driven, and eager to contribute to a fast-growing SaaS company. You should have excellent written and verbal communication skills, expertise in natural language processing (NLP) techniques for text and sentiment analysis, and ideally, experience working with startups. Joining our interdisciplinary team, you will have the opportunity to work with leaders from Palantir, McKinsey, GM, and Ford. We value collaboration, diversity of thinking, and setting high standards to deliver exceptional results in a startup environment.,

We are seeking a Decision Scientist to join our team and play a vital role in aligning data-driven solutions with business objectives, optimizing decision-making processes, and promoting a culture of data-driven business solutions. The ideal candidate should possess a deep understanding of statistical learning, hypothesis formulation, and a proactive problem-solving approach. SatSure is a deep tech, decision intelligence company that operates at the intersection of agriculture, infrastructure, and climate action, making a positive impact in the developing world by leveraging insights from earth observation data. As part of our team, you will have the opportunity to contribute to building a cutting-edge tech company based in India that addresses global challenges. Responsibilities: - Understand business objectives and develop models to support their achievement, while establishing metrics to monitor progress. - Enhance existing DS/ML models in production and explore new opportunities in collaboration with clients. - Collaborate with cross-functional teams to drive and implement optimized decision-making solutions. - Promote a culture of data-driven business solutions within the organization. - Study the relationship between remote sensing data and other auxiliary datasets. - Work with data scientists to contribute to study protocols and design. - Develop and execute data quality assurance plans. - Stay informed about the latest developments in statistical learning and quality assurance. - Define metrics for assessing product enhancements and manage reporting and tracking. - Formulate hypotheses and design experimental frameworks for metric testing. - Proactively identify and pursue opportunities for new solutions. Qualifications: - 5-8 years of work experience. - Master's degree in Mathematics, Statistics, Business Analytics, Computer Science, or a related field. Required Skills: - Proficiency in data manipulation and analysis using Python or R, as well as SQL for database querying. - Familiarity with data visualization tools (e.g., Tableau, Power BI) and data preparation tools (e.g., Pandas, NumPy). - Strong analytical and problem-solving skills, including expertise in statistical and machine-learning techniques. - Excellent communication skills to convey technical findings in a clear and actionable manner to non-technical stakeholders. - Business acumen with knowledge of the banking, finance, and agriculture sectors. - Attention to detail, commitment to data accuracy, and results-driven mindset. - Domain knowledge in financial modeling, DS/ML, operations research, decision support, and business intelligence. Preferred Skills: - Experience in team leadership or management. - Background in financial modeling and credit scoring. - Ability to communicate technical results effectively to diverse audiences. Benefits: - Medical health coverage for you and your family, with unlimited online doctor consultations. - Access to mental health experts for you and your family. - Learning and skill development allowances. - Comprehensive leave policy, including casual leaves, paid leaves, marriage leaves, and bereavement leaves. - Bi-annual appraisal cycle. Interview Process: - Introductory call - Assessment - Presentation - Multiple interview rounds (typically 3-4 rounds) - Cultural/HR round,