1583 Pandas Jobs - Page 30

Data Engineering concepts (PySpark, NumPy, Pandas, AWS Glue and Airflow) SQL (basic and intermediate) exclusively Oracle hands-on work experience (SQL profilers / Query Analyzers) AWS cloud related (S3, RDS, RedShift) ETL

We Are Hiring Immediate Joiners...!!! Job Title: Python Developer Experience Level: 4-8 years Location: Bangalore - Koramangala Salary: 10 to 20 LPA Mandate Skills: AI/ML, AWS, Python, Microservices. Notice Period: 0 to 15 Days Max Design and develop microservices using Python Deploy microservices as AWS Lambda functions, packaged as Docker images when necessary Integrate with various data sources using Python SDKs or REST APIs Implement WebSocket communication in Python services Work with libraries to extract data from PDFs, images, and Word documents (Good to have) Experience with Retrieval-Augmented Generation (RAG) frameworks like LangChain Interact with AWS RDS (PostgreSQL) via Python scripts Use libraries such as pandas and numpy for data cleansing and transformation

Job Title: Python Developer (4+ Years Experience) Location: Noida Job Type: Full-time About the Role: We are looking for a skilled and enthusiastic Python Developer with around 4 years of professional experience to join our growing tech team. The ideal candidate will have a strong foundation in Python and hands-on experience in building scalable, maintainable, and efficient backend systems or applications. Key Responsibilities: • Design, develop, and maintain robust Python-based applications. • Write reusable, testable, and efficient code. • Collaborate with cross-functional teams including front-end developers, DevOps, and product managers. • Integrate user-facing elements with server-side logic. • Implement data storage solutions (e.g., PostgreSQL, MongoDB, Redis). • Develop RESTful APIs or microservices architecture. • Participate in code reviews, architecture discussions, and continuous improvement initiatives. • Write unit and integration tests to ensure code quality. • Troubleshoot and debug applications. Required Skills & Qualifications: • 4+ years of experience in Python development. • Strong understanding of Python frameworks like Django, Flask, or FastAPI. • Good knowledge of SQL and NoSQL databases. • Experience working with APIs and third-party integrations. • Familiarity with version control systems like Git. • Understanding of software development best practices, including Agile/Scrum. • Exposure to containerization tools like Docker (preferred). • Experience with CI/CD pipelines is a plus. • Good problem-solving and communication skills. Nice to Have: • Knowledge of front-end technologies like HTML, CSS, and JavaScript. • Experience with cloud platforms like AWS, GCP, or Azure. • Familiarity with asynchronous programming, Celery, or message brokers like RabbitMQ/Kafka. • Basic understanding of data structures and algorithms. Education: • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience). Interested candidates can share their cv on daniya.mirza@mpslimited.com

Overview MSCI Data Collection team's sources ESG and Climate raw input data disclosed in publicly available sources. On a day-today basis, the team manages data production, coordinates with vendors, product teams, clients, and corporates. The team is responsible for quality review and ensures that data collected is up to date and adheres to data collection guidance and methodology defined by MSCI. Moreover, with the team’s consistent drive to innovate and leverage technology, the team initiates and/or collaborates with other teams on programs related to data quality and process improvements, through leveraging GenAI/LLMs, automation, workflow streamlining projects, and building data QA models. Responsibilities Searching for, procuring, and processing information about global companies on an as needed basis using multiple methods, techniques, and sources; Working different types of information sources (i.e. annual reports, websites, quantitative data feeds, web crawlers, news articles), types of information (i.e. quantitative data, key performance indicators, prose narratives), topics or subject matters (i.e. traditional financial risk, corporate governance, and sustainability) and types of analysis (i.e. rules-based, subjective analysis, written summaries); Leverage Generative AI tools/LLMs to improve existing data sourcing process & QA process in production; Conduct an efficient data quality assurance (QA) process including assessing results, compiling, and reporting QA findings; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Contribute to working committees, projects, or perform other tasks as deemed necessary by the business; and Reviewing and processing feedback from companies and responding to client queries. Qualifications at least a Bachelor's degree in the fields of Finance/Economics or Business Management, International Relations, Social Science, Environmental Science or Interdisciplinary Studies. Fresh graduates are welcome to apply. (0-3yrs) Interest and drive for adoption of Generative AI/LLMs into production workflow to improve timeliness and quality of data. Experience of using GenAI tools will be added advantage. Excellent oral and written communication skills in English Proficiency in creating presentations, data analysis and excellent research and analytical skills Good to have: Good command over excel tools and functionality dealing with volume of data and exposure to pandas or tools like Power BI and jupyter notebooks Comfortable working in a team environment across hierarchies, functions, and geographies Strong interpersonal skills and ability to work with people in different offices and time zones Interest and drive for adoption of Generative AI/LLMs into production workflow to improve timeliness and quality of data. Experience of using GenAI tools will be added advantage. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Why this job matters We are searching for a proficient AI/ML engineer who can help us to extract value from our data. The resource will be responsible for E2E processes including data collection, cleaning & pre-processing, training of the models and deployment in all production and non-production environments. What youll be doing Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies Defining the pre-processing or feature engineering to be done on given data. Defining data augmentation pipelines. Training models and tuning their hyperparameters. analysing the errors of the model and designing strategies to overcome them. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Strong knowledge on model deployment pipeline MLOPS and knowledge of AWS/GCP deployment. Skills Required Proven experience (4 or more years) as a Machine Learning Engineer/ Artificial Intelligence Engineer or similar role. Solving business problems using Machine Learning algorithms, Deep Learning/Neural Network algorithms, Sequential model development, and Time series data modelling. Experience with Computer Vision techniques, Convolutional Neural Networks (CNN), Generative AI, and Large Language Models (LLMs) Experience with deploying models using MLOps pipelines. Proficiency in handling both structured and unstructured data, including SQL, BigQuery, and DataProc. Hands-on experience with API development using frameworks like Flask, Django, and FastAPI. Automating business and functional operations using AIOps. Experience with cloud platforms such as GCP and AWS, and tools like Qlik (Added advantage) Understanding of data structures, data modelling and software architecture. Expertise in visualizing and manipulating big datasets. Deep knowledge of math, probability, statistics and algorithms. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge in R or Java is a plus. Proficiency in TensorFlow or Keras and OpenCV is a plus. Excellent communication skills. Team player. Outstanding analytical and problem-solving skill. Familiarity with Linux environment. Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus. Minimum educational qualification: BE/B.Tech or similar degree in relevant field. The skills youll need Troubleshooting Agile Development Database Design/Development Debugging Programming/Scripting Microservices/Service Oriented Architecture Version Control IT Security Cloud Computing Continuous Integration/Continuous Deployment Automation & Orchestration Software Testing Application Development Algorithm Design Software Development Lifecycle Decision Making Growth Mindset Inclusive Leadership

Senior Data and Applied Scientist - Advertising Join Pattern's innovative Data Science team as a Senior Data and Applied Scientist, where you'll leverage your expertise to optimize advertising spend on ecommerce platforms. Pattern is a leading ecommerce company that helps brands grow their business on platforms like Amazon. What Youll Do : Design, build, and maintain machine learning and statistical models to optimize advertising campaigns, enhancing search visibility and conversion rates on ecommerce platforms. Continuously improve the quality of our machine learning models, focusing on key metrics like search ranking, keyword bidding, CTR, and conversion rate estimation. Conduct research to integrate new data sources, innovate in feature engineering, fine-tune algorithms, and enhance data pipelines for robust model performance. Analyze large datasets to extract actionable insights that guide advertising decisions. Collaborate closely with teams across different regions (US and India) to ensure seamless collaboration and knowledge sharing. Dedicate 20% of your time to MLOps for efficient, reliable model deployment and operations. What Were Looking For: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field. 3-6 years of industry experience in building and deploying machine learning solutions. Strong data manipulation and programming skills in Python and SQL, with hands-on experience using libraries such as Pandas, Numpy, Scikit-Learn, and XGBoost. Strong problem-solving skills and the ability to analyze complex data. In-depth expertise in a range of machine learning and statistical techniques, such as linear and tree-based models, along with an understanding of model evaluation metrics. Experience with Git, AWS, Docker, and MLFlow is advantageous. Additional Pluses: Portfolio: An active Kaggle or GitHub profile showcasing relevant projects. Domain Knowledge: Familiarity with advertising and ecommerce concepts, which would help in tailoring models to business needs. Explore more about Pattern and our innovative approach to ecommerce here.

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3-8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - divya.sehgal@thethreeacross.com

Role & responsibilities 4+ years of Total experience Strong technical, analytical, troubleshooting, and communication skills An extensive experience with Python Experience with SQL, Postgres-SQL Experience with Git Working experience on AWS services Lambda, EC2 and Docker Proficiency with object-oriented design principles Working experience on APIs is a must Experience building and deploying production level services Keep up to date with any legislation Experience with work on Linux is an add-on Experience with ProTour implementation in APIs is an add-on Experience on Vue js / React js testing frameworks is an add-on

Job Description: We are looking for a skilled and motivated Python Developer with 35 years of experience to join our remote development team in India. The ideal candidate will have a strong command of the English language, experience working with version control systems like Git/GitHub, and a proactive approach to learning and collaboration. Responsibilities: Design, develop, test, and maintain backend systems and APIs using Python. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Utilize GitHub for version control, code reviews, and collaboration. Participate in daily stand-ups, sprint planning, and other agile processes. Document technical solutions and maintain project documentation. Required Skills: 3–5 years of hands-on experience with Python (Flask, FastAPI, or Django is a plus). Excellent written and spoken English. Solid understanding of software development best practices. Experience using Git and GitHub in a collaborative development environment. Strong problem-solving skills and attention to detail. Nice-to-Have: Experience with REST APIs, SQL databases, and cloud platforms (AWS, Azure, etc.). Familiarity with containerization (Docker) and CI/CD pipelines. Prior experience in financial or legal tech projects.

Role - Python Full stack Developer Must have skills - ReactJS, Node.Js, STRONG Python, Flask, Django, Numpy, FastAPI, Cloud (AWS Preferred) Exp - 6 to 10 Yrs Loc – Remote Np - Immediate Joiners and max 30 days.

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3–8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - simran.salhotra@portraypeople.com

Design & Develop intelligent Agentic AI agents that revolutionize industry *Design, develop & deploy AI solutions using Python 3, ML & React Native/JS. Java, C# Al/ML Models *Collaborate on data science projects Minimum 5 years experience in AL/ML

Were Hiring | Data Science Manager Location: Bangalore Experience: 813 Years Must-Have Skills: • Proven experience as a Data Scientist • Strong Python coding skills • Hands-on with libraries: NumPy, Pandas, Scikit-learn, etc. • Exposure to LLMs & Generative AI • Experience in Project & Team Management

Job Title: Senior Data Engineer Location: Remote Job Type: Fulltime YoE: 7 to 10 years relevant experience Shift: 6.30pm to 2.30am IST Job Purpose: The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow under the guidance of the Team Lead, Data Management. This role ensures data is reliable, compliant with HIPAA, and optimized. Duties & Responsibilities: Collaborate with the Team Lead and crossfunctional teams to gather and refine data requirements for Denials AI solutions. Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS). Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning. Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures. Enforce data quality and governance standards, including HIPAA compliance for PHI handling. Conduct code reviews, share best practices, and mentor junior data engineers. Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms. Document data workflows, schemas, and operational runbooks to support team knowledge transfer. Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, or related field. 5+ years of handson experience building and operating productiongrade data pipelines. Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow). Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS). Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch. Basic proficiency in Python and Python data frameworks (Pandas, PySpark). Experience with version control (GitHub) and CI/CD for data projects. Familiarity with healthcare data standards and HIPAA compliance. Excellent problemsolving skills, attention to detail, and ability to work independently. Strong communication skills, with experience mentoring or leading small technical efforts.

Design, develop, and optimize SQL queries for PostgreSQL, MySQL, and Snowflake. maintain ETL pipelines using Python for data processing and migration

About the Role: We are seeking a highly motivated AI/ML Engineer with 13 years of experience to join a fast-growing product-based team in Chandigarh. You will be part of a talented group working on building AI-powered solutions, predictive models, and intelligent automation tools for real-world business applications. Key Responsibilities: Design and implement machine learning models and algorithms Work with data teams to preprocess and clean datasets Train, evaluate, and fine-tune models for classification, regression, and clustering problems Collaborate with product and engineering teams to integrate ML models into production Conduct research on state-of-the-art AI/ML trends and apply best practices Document model performance, experiments, and key metrics Required Skills: 1-3 years of hands-on experience in AI/ML model development Proficient in Python and ML libraries (e.g., scikit-learn, TensorFlow, Keras, PyTorch) Solid understanding of data structures, algorithms, and ML concepts Experience with Pandas, NumPy, Matplotlib, etc. Good understanding of model evaluation, overfitting/underfitting, cross-validation Strong problem-solving and communication skills Good to Have: Experience with NLP, Computer Vision, or Deep Learning Exposure to MLOps or cloud platforms (AWS, GCP, Azure) Familiarity with Flask or FastAPI for deploying ML models Version control tools like Git Why Join Us? Work on real-world AI applications in a fast-paced environment Collaborate with a tech-driven and passionate team Excellent growth opportunities and career progression Competitive compensation and flexible work culture

Develop and implement data visualization tools to track model performance and key business metrics. Analyze large-scale datasets to extract insights and provide recommendations for model improvements.

Role: Python Developer Experience - 8 years - 12 years Location: Hyderabad Only Job Description: Mandatory Skills: Python, SQL We are looking for a skilled and motivated Python Developer with 8 to 12 years of hands-on experience in Python and SQL. The ideal candidate will be part of a dynamic data engineering team, responsible for building scalable data pipelines and working on big data solutions.

Define, Design, and Build an optimal data pipeline architecture to collect data from a variety of sources, cleanse, and organize data in SQL & NoSQL destinations (ELT & ETL Processes). Define and Build business use case-specific data models that can be consumed by Data Scientists and Data Analysts to conduct discovery and drive business insights and patterns. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build and deploy analytical models and tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Define, Design, and Build Executive dashboards and reports catalogs to serve decision-making and insight generation needs. Provide inputs to help keep data separated and secure across data centers on-prem and private and public cloud environments. Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Implement scheduled data load process and maintain and manage the data pipelines. Troubleshoot, investigate, and fix failed data pipelines and prepare RCA. Experience with a mix of the following Data Engineering Technologies Python, Spark, Snowflake, Databricks, Hadoop (CDH), Hive, Sqoop, oozie SQL Postgres, MySQL, MS SQL Server Azure ADF, Synapse Analytics, SQL Server, ADLS G2 AWS Redshift, EMR cluster, S3 Experience with a mix of the following Data Analytics and Visualization toolsets SQL, PowerBI, Tableau, Looker, Python, R Python libraries -- Pandas, Scikit-learn, Seaborn, Matplotlib, TF, Stat-Models, PySpark, Spark-SQL, R, SAS, Julia, SPSS, Azure Synapse Analytics, Azure ML studio, Azure Auto ML

Define, Design, and Build an optimal data pipeline architecture to collect data from a variety of sources, cleanse, and organize data in SQL & NoSQL destinations (ELT & ETL Processes). Define and Build business use case-specific data models that can be consumed by Data Scientists and Data Analysts to conduct discovery and drive business insights and patterns. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build and deploy analytical models and tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Define, Design, and Build Executive dashboards and reports catalogs to serve decision-making and insight generation needs. Provide inputs to help keep data separated and secure across data centers - on-prem and private and public cloud environments. Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Implement scheduled data load process and maintain and manage the data pipelines. Troubleshoot, investigate, and fix failed data pipelines and prepare RCA. Experience with a mix of the following Data Engineering Technologies Python, Spark, Snowflake, Databricks, Hadoop (CDH), Hive, Sqoop, oozie SQL - Postgres, MySQL, MS SQL Server Azure - ADF, Synapse Analytics, SQL Server, ADLS G2 AWS - Redshift, EMR cluster, S3 Experience with a mix of the following Data Analytics and Visualization toolsets SQL, PowerBI, Tableau, Looker, Python, R Python libraries -- Pandas, Scikit-learn, Seaborn, Matplotlib, TF, Stat-Models, PySpark, Spark-SQL, R, SAS, Julia, SPSS, Azure - Synapse Analytics, Azure ML studio, Azure Auto ML

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 : Large Language Models Good to have skills : NAMinimum 12 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 generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata 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 : Large Language Models Good to have skills : NAMinimum 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 effective solutions that address real-world challenges. 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.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

3yrs exp in machine learning, AI eng, or related role Strong prog skills in Python,&exp with ML framwks,TensorFlow, PyTorch, or Scikit-learn Data science tool-NumPy, Pandas,& Jupiter Data structure, data modeling. STARTUP company EXP WILL BE +

About the Role: We are seeking a seasoned Fullstack Developer with strong backend skills in Python and frontend expertise in ReactJS. The ideal candidate will have 8-10 years of hands-on experience building scalable, high-performance applications and a deep understanding of modern development workflows. This role involves working across the stack and collaborating closely with cross-functional teams in an Agile/Scrum environment. Key Responsibilities: Develop and maintain scalable backend services using Python (Django REST framework, Flask) Build efficient data processing pipelines and integrate with external services Design and implement RESTful APIs to support frontend functionality Develop and implement user interface components using ReactJS, TypeScript, and modern JS frameworks Ensure high code quality through unit testing and best development practices Participate in architecture, design, and product discussions Collaborate within Agile/Scrum teams for end-to-end feature delivery Must-Have Skills: Backend Development: Proficiency in Python with deep knowledge of application programming concepts Experience with Django REST framework, Flask RESTful Web Services, NoSQL & In-Memory Databases Expertise in JSON, XML data manipulation Pandas, Pytest, exception handling Multithreading / Asyncio, gRPC (microservices concepts) Frontend Development: Expertise in ReactJS, Redux, Webpack Strong command of TypeScript and JavaScript Ability to design and develop high-performance UI components Nice to Have: Knowledge of Java Familiarity with unit testing frameworks (e.g., JUnit) Experience with CI/CD pipelines (Jenkins, Bamboo) Understanding of Cloud services (preferably Azure) Azure Active Directory, Notification Hub Cloud app services, load balancers, application gateways Soft Skills & Work Style: Strong problem-solving skills and a self-sufficient mindset Team-oriented with excellent collaboration abilities Exceptional communication and documentation skills Thorough understanding of the Agile Scrum framework

Support AI/ML projects by developing data pipelines, managing databases, automating ETL in Python, and collaborating across teams. Skilled in SQL, Python, cloud tools, and data quality. Mail:kowsalya.k@srsinfoway.com