1973 Preprocessing Jobs - Page 29

Job Summary: We are looking for a skilled Python Developer with 7 to 12 years of experience to design, develop, and maintain high-quality back-end systems and applications. The ideal candidate will have expertise in Python and related frameworks, with a focus on building scalable, secure, and efficient software solutions. This role requires a strong problem-solving mindset, collaboration with cross-functional teams, and a commitment to delivering innovative solutions that meet business objectives. Responsibilities Application and Back-End Development: Design, implement, and maintain back-end systems and APIs using Python frameworks such as Django, Flask, or FastAPI, focusing on scalability, security, and efficiency. Build and integrate scalable RESTful APIs, ensuring seamless interaction between front-end systems and back-end services. Write modular, reusable, and testable code following Python’s PEP 8 coding standards and industry best practices. Develop and optimize robust database schemas for relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB), ensuring efficient data storage and retrieval. Leverage cloud platforms like AWS, Azure, or Google Cloud for deploying scalable back-end solutions. Implement caching mechanisms using tools like Redis or Memcached to optimize performance and reduce latency. AI/ML Development: Build, train, and deploy machine learning (ML) models for real-world applications, such as predictive analytics, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision. Work with popular machine learning and AI libraries/frameworks, including TensorFlow, PyTorch, Keras, and scikit-learn, to design custom models tailored to business needs. Process, clean, and analyze large datasets using Python tools such as Pandas, NumPy, and PySpark to enable efficient data preparation and feature engineering. Develop and maintain pipelines for data preprocessing, model training, validation, and deployment using tools like MLflow, Apache Airflow, or Kubeflow. Deploy AI/ML models into production environments and expose them as RESTful or GraphQL APIs for integration with other services. Optimize machine learning models to reduce computational costs and ensure smooth operation in production systems. Collaborate with data scientists and analysts to validate models, assess their performance, and ensure their alignment with business objectives. Implement model monitoring and lifecycle management to maintain accuracy over time, addressing data drift and retraining models as necessary. Experiment with cutting-edge AI techniques such as deep learning, reinforcement learning, and generative models to identify innovative solutions for complex challenges. Ensure ethical AI practices, including transparency, bias mitigation, and fairness in deployed models. Performance Optimization and Debugging: Identify and resolve performance bottlenecks in applications and APIs to enhance efficiency. Use profiling tools to debug and optimize code for memory and speed improvements. Implement caching mechanisms to reduce latency and improve application responsiveness. Testing, Deployment, and Maintenance: Write and maintain unit tests, integration tests, and end-to-end tests using Pytest, Unittest, or Nose. Collaborate on setting up CI/CD pipelines to automate testing, building, and deployment processes. Deploy and manage applications in production environments with a focus on security, monitoring, and reliability. Monitor and troubleshoot live systems, ensuring uptime and responsiveness. Collaboration and Teamwork: Work closely with front-end developers, designers, and product managers to implement new features and resolve issues. Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives, to ensure smooth project delivery. Provide mentorship and technical guidance to junior developers, promoting best practices and continuous improvement. Required Skills and Qualifications Technical Expertise: Strong proficiency in Python and its core libraries, with hands-on experience in frameworks such as Django, Flask, or FastAPI. Solid understanding of RESTful API development, integration, and optimization. Experience working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Expertise in using Git for version control and collaborating in distributed teams. Knowledge of CI/CD pipelines and tools like Jenkins, GitHub Actions, or CircleCI. Strong understanding of software development principles, including OOP, design patterns, and MVC architecture. Preferred Skills: Experience with asynchronous programming using libraries like asyncio, Celery, or RabbitMQ. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly) for generating insights. Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus. Familiarity with big data frameworks like Apache Spark or Hadoop. Experience with serverless architecture using AWS Lambda, Azure Functions, or Google Cloud Run. Soft Skills: Strong problem-solving abilities with a keen eye for detail and quality. Excellent communication skills to effectively collaborate with cross-functional teams. Adaptability to changing project requirements and emerging technologies. Self-motivated with a passion for continuous learning and innovation. Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Job Features Job Category Software Division

Hi, Greetings from Warrior Tech Solutions. We are hiring for the below position: Role: Data Scientist/AI Engineer Location: Chennai/Hyderabad (Onsite – 5 Days) Experience: 5+ Years Notice: Immediate to 15 days Responsibilities will include but are not limited to: · Development and testing of Generative AI solution either Agentic or non-AgenticAI · Deep understanding of any framework either Langgraph or Autogen or CrewAI · Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF and success measurement. · Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases. · Designing end-to-end Generative AI solutions tailored to specific Verizon use cases. · Deep understanding of automation and AI technologies and their application in business operations. · Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the company’s product lines. · Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data · Design, develop and evaluate predictive LLM models that are on par with industry standards & define metrics that measure success and customer value delivery · Work closely with process experts to analyze and design solutions based on business requirements. Technical skills: · Develop Lang Graph based Agentic Framework implementation · Use Large Language Models for content generation · Create Prompt templates for LLMs · Fluent in Python, Jupyter Notebooks · Experience in RAG pipelines / Vector Databases · Develop Python based parsers for PDFs · Experience on node.js programming and testing · Experience on deployment in AWS or GCP Required Skills: · Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI · Master’s degree from an accredited college or university preferred · Established experience delivering information management solutions to large numbers of end users · Experience in building LLM solutions to business problems across support, sales, digital, chat, voice etc., · Familiarity with Gen AI Models (OpenAI, Gemini AI, Vertex.AI, Mistral, LlaMa, etc.,) and finetune based on domain specific needs · Experience in text processing, Vector databases and embedding models · Experience in NLP, Transformers and Neural Networks · Hands-on experience in using Langchain and good exposure to LLMOps · Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and ML · Research, recommend and implement best practices of LLM and NLP systems that can scale · Identify new process opportunities, while quickly assessing feasibility · Excellent written and verbal communication skills able to effectively communicate technical details to a non-technical audience as well as produce clear and concise written documentation If interested, kindly share the resumes to *bharathi@ewarriorstechsolutions.com* or contact @8015568995. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Job Summary: We are looking for a skilled Python Developer with 3 to 6 years of experience to design, develop, and maintain high-quality back-end systems and applications. The ideal candidate will have expertise in Python and related frameworks, with a focus on building scalable, secure, and efficient software solutions. This role requires a strong problem-solving mindset, collaboration with cross-functional teams, and a commitment to delivering innovative solutions that meet business objectives. Responsibilities Application and Back-End Development: Design, implement, and maintain back-end systems and APIs using Python frameworks such as Django, Flask, or FastAPI, focusing on scalability, security, and efficiency. Build and integrate scalable RESTful APIs, ensuring seamless interaction between front-end systems and back-end services. Write modular, reusable, and testable code following Python’s PEP 8 coding standards and industry best practices. Develop and optimize robust database schemas for relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB), ensuring efficient data storage and retrieval. Leverage cloud platforms like AWS, Azure, or Google Cloud for deploying scalable back-end solutions. Implement caching mechanisms using tools like Redis or Memcached to optimize performance and reduce latency. AI/ML Development: Build, train, and deploy machine learning (ML) models for real-world applications, such as predictive analytics, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision. Work with popular machine learning and AI libraries/frameworks, including TensorFlow, PyTorch, Keras, and scikit-learn, to design custom models tailored to business needs. Process, clean, and analyze large datasets using Python tools such as Pandas, NumPy, and PySpark to enable efficient data preparation and feature engineering. Develop and maintain pipelines for data preprocessing, model training, validation, and deployment using tools like MLflow, Apache Airflow, or Kubeflow. Deploy AI/ML models into production environments and expose them as RESTful or GraphQL APIs for integration with other services. Optimize machine learning models to reduce computational costs and ensure smooth operation in production systems. Collaborate with data scientists and analysts to validate models, assess their performance, and ensure their alignment with business objectives. Implement model monitoring and lifecycle management to maintain accuracy over time, addressing data drift and retraining models as necessary. Experiment with cutting-edge AI techniques such as deep learning, reinforcement learning, and generative models to identify innovative solutions for complex challenges. Ensure ethical AI practices, including transparency, bias mitigation, and fairness in deployed models. Performance Optimization and Debugging: Identify and resolve performance bottlenecks in applications and APIs to enhance efficiency. Use profiling tools to debug and optimize code for memory and speed improvements. Implement caching mechanisms to reduce latency and improve application responsiveness. Testing, Deployment, and Maintenance: Write and maintain unit tests, integration tests, and end-to-end tests using Pytest, Unittest, or Nose. Collaborate on setting up CI/CD pipelines to automate testing, building, and deployment processes. Deploy and manage applications in production environments with a focus on security, monitoring, and reliability. Monitor and troubleshoot live systems, ensuring uptime and responsiveness. Collaboration and Teamwork: Work closely with front-end developers, designers, and product managers to implement new features and resolve issues. Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives, to ensure smooth project delivery. Provide mentorship and technical guidance to junior developers, promoting best practices and continuous improvement. Required Skills and Qualifications Technical Expertise: Strong proficiency in Python and its core libraries, with hands-on experience in frameworks such as Django, Flask, or FastAPI. Solid understanding of RESTful API development, integration, and optimization. Experience working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Expertise in using Git for version control and collaborating in distributed teams. Knowledge of CI/CD pipelines and tools like Jenkins, GitHub Actions, or CircleCI. Strong understanding of software development principles, including OOP, design patterns, and MVC architecture. Preferred Skills: Experience with asynchronous programming using libraries like asyncio, Celery, or RabbitMQ. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly) for generating insights. Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus. Familiarity with big data frameworks like Apache Spark or Hadoop. Experience with serverless architecture using AWS Lambda, Azure Functions, or Google Cloud Run. Soft Skills: Strong problem-solving abilities with a keen eye for detail and quality. Excellent communication skills to effectively collaborate with cross-functional teams. Adaptability to changing project requirements and emerging technologies. Self-motivated with a passion for continuous learning and innovation. Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Job Features Job Category Software Division

Job description We are looking for 2+ years exp AI Developer to work at our organisation Job Description: We are looking for passionate and talented AI to join our team and work on cutting-edge artificial intelligence and machine learning projects. This role will provide hands-on experience in AI model development, data processing, and deploying intelligent solutions. Key Responsibilities: Develop, train, and test machine learning and deep learning models Work with large datasets, preprocess data, and optimize models Implement AI algorithms for real-world applications such as NLP, computer vision, and predictive analytics Collaborate with cross-functional teams to integrate AI solutions into products Stay updated with the latest AI advancements and research Write clean, efficient, and well-documented code Required Skills: Strong understanding of machine learning, deep learning, and AI concepts Proficiency in Python and AI libraries Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Job Types: Full-time, Permanent Job Types: Full-time, Permanent Benefits: Provident Fund Location Type: In-person Schedule: Day shift Morning shift Application Question(s): How many years of AI Developer experience your having? Current Salary and Salary Expectation Notice period duration Experience: ML and Deep learning: 2 years (Preferred) Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

Assisted in designing, coding, testing, and debugging Python-based applications under the guidance of senior developers. Contributed to the development of web applications using Python frameworks like Django or Flask. Supported the integration of front-end elements with server-side logic. Wrote reusable, testable, and efficient Python code following coding standards. Participated in code reviews and incorporated feedback to improve code quality and functionality. Worked with RESTful APIs and supported back-end data exchange between systems. Developed and tested basic AI/ML models using Python libraries such as scikit-learn, pandas, NumPy , and TensorFlow/PyTorch . Helped in writing scripts for automation, data preprocessing, and model training tasks. Maintained and updated documentation for new and existing features, including model workflows and data pipelines. Collaborated with cross-functional teams to gather requirements, implement AI-driven solutions, and support product features. Assisted in troubleshooting, bug fixing, and performance tuning of existing applications and machine learning models. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Work from home Schedule: Day shift Monday to Friday Morning shift Application Question(s): DO you have AI & ML Knowledge/experience do you have knowledge or experience of python libaries Work Location: In person

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Procurement Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning , NLP using Python Solid understanding of GenAI concepts and experience in Prompt Engineering and RAG Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization Good To Have Preferred industry exposure in CPG and experience of working in the domain of Procurement Analytics Product building experience would be a plus Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Experience with Airflow for orchestrating and automating workflows Familiarity with MLOPS and containerization tools like Docker would be plus. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers

Summary 4+ years of experience In this role, you pride yourself on staying at the cutting edge of UI design and development. You are equally comfortable creating an interactive prototype, and developing maintainable CSS/SASS/LESS, HTML and JavaScript. You believe that semantic markup, web accessibility and performance optimization are musthaves on every page you deliver, and you devour articles describing ways to improve the quality of the user experience. 68 years of experience in developing frontend code for an enterprise content management system (e.g., Adobe Experience Manager, Sitecore) Responsibilities n Produce great frontend code. You enjoy producing clean, easytoread, semantic HTML markup and CSS, adhering to W3C specs and best practices. Youre skilled at architecting modular, maintainable, and extensible CSS code. (Deep experiences with SASS a major plus.) Youre also deeply familiar with jQuery and the best plugins. Leverage modular CSS methodologies like BEM, OOCSS Develop new userfacing features based on provided designs and style system Build reusable code and libraries for future use Optimize frontend pages for maximum speed and scalability, with a focus on Core Web Vitals Ensure pages adhere to accessibility standards specifically WCAG 2.2 AA conformance Assure that all user input is validated before submitting to backend Collaborate with other team members and stakeholders Ensure the application scales well across browsers (Cross Browser Testing) Build UI components using Storybook. n Experience in using Figma a plus Key capabilities Proficient understanding of web markup, including HTML5 and CSS3 Proficient understanding of core web vitals and techniques for optimizing page load times Strong knowledge of Twitter Bootstrap framework and Responsive Design using media queries Strong background of frontend development tools such as npm and webpack. Basic understanding of serverside CSS preprocessing platforms, such as LESS and SASS Experience writing crossbrowser and crossplatform markup, styles, and JavaScript Ability to write custom JavaScript, as well as work with popular JavaScript tools such as jQuery Collaborate with crossfunctional teams to integrate UI components into a content management system Basic understanding of AEMs Sightly/HTL Proficient in using Font, icons and implement using CSS3 Conduct thorough testing of UI components to ensure compatibility and adherence to quality standards. Proficient understanding of crossbrowser compatibility issues and ways to work around them Fair understanding of JavaScript programming and DOM manipulation Good understanding of SEO principles and ensuring that the application will adhere to them Proficient understanding of code versioning tools, such as Git / SVN Provide clear and comprehensive documentation for developed UI components. Effectively communicate with team members, stakeholders, and project managers. Experience in Agile development is a plus Education Bachelors degree in Computer Science, Engineering, or a related field. Adobe Experience Cloud related certifications preferred. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

We are seeking a motivated and detail-oriented Data Analyst Intern to join our dynamic team. In this role, you will gain hands-on experience analyzing data, developing reports, and supporting data-driven decision-making processes. This internship will provide you with exposure to industry-standard tools and techniques, setting a strong foundation for your career in data analytics. As a Data Analyst Intern, you will work closely with our sales team to collect, process, and analyze data that supports business decisions. This role is ideal for someone passionate about data and eager to develop their analytical and technical skills in a real-world environment. The selected intern has to work on the following: Assist in data collection, cleaning, and preprocessing from various sources. Perform exploratory data analysis to identify trends and patterns. Create reports and dashboards to visualize data insights using tools like Excel, Tableau, or Power BI. Collaborate with team members to support data-driven decision-making processes. Document methodologies and processes for data analysis. Skills Required: Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics or a related field. Proficiency in Excel and familiarity with SQL for data querying. Experience with data visualization tools (e.g., Tableau, Power BI, or similar). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Willingness to work for 6 months on a full time basis. Job Category: Data Analyst Job Type: Full Time - Paid Internship Job Location: Jaipur

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern, you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

**We are Looking for Immediate Joiners** Job Title: AI/ML Engineer Location: Hybrid (Remote & Onsite) Job Type: Full-time Experience Level : Mid Job Summary: We are seeking a skilled AI/ML Engineer to design, develop, and implement machine learning models and AI-driven solutions. The ideal candidate will work closely with cross-functional teams to integrate AI into our products and services, ensuring efficiency and scalability. Key Responsibilities: · Develop and deploy machine learning models and AI algorithms. · Preprocess and analyze large datasets for training and validation. · Optimize model performance and scalability in real-world applications. · Design and implement AI-driven solutions for predictive analytics and automation. · Collaborate with software engineers, data scientists, and domain experts to integrate AI solutions. · Monitor and maintain deployed models, ensuring continuous improvements. · Develop and maintain APIs for AI-driven chat responses and data ingestion. · Ensure AI models are efficiently stored and retrieved from vector databases. · Stay updated with the latest trends and advancements in AI and ML. Required Skills & Qualifications: · Strong programming skills in Python. · Experience with machine learning algorithms, deep learning, and data preprocessing techniques. · Expertise in web frameworks, particularly FastAPI. · Proficiency in working with structured and unstructured datasets. · Experience with databases including MongoDB, PostgreSQL, and Weaviate (vector databases, semantic search, hybrid search, distance metrics). · Strong understanding of Retrieval-Augmented Generation (RAGs) and Large Language Models (LLMs), including prompt engineering and NLP techniques. · Knowledge of vector embeddings and semantic search. · Experience in infrastructure management, including Docker, Kubernetes, and cloud platforms (GCP/Azure). · Experience in MLOps and CI/CD for AI models. · Ability to design and deploy Merchant-specific API endpoints for AI-driven chat responses and data ingestion. · Strong problem-solving and analytical skills. Educational Qualifications: · Bachelor’s/master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. Preferred Experience: · 2+ years of experience in AI/ML model development and deployment. · Hands-on experience with large-scale data processing and model optimization. · Experience in productionizing AI solutions in real-world applications. · Experience with OpenAPI (Swagger) for API documentation and usability.

Job Title: Data Analyst Location: Guntur, Andhra Pradesh Company: Leaf N Beyond Package: Starting from ₹4.2 LPA About Us: At Leaf N Beyond Pvt. Ltd., we believe in data-driven growth and innovation. Our motto, Today. Tomorrow. Together , is mission-driven team contributing to ESG and sustainable practices in agriculture. Who Are We Looking For? We are seeking a motivated Data Analyst who has completed their MBA with a specialization in Analytics, Business Intelligence, or a related field . The ideal candidate should have a strong analytical mindset, attention to detail, and a passion for uncovering insights that drive business decisions. Key Responsibilities: Analyze and interpret complex datasets to assist strategic decision-making Create dashboards and reports using tools such as Excel, Power BI, or Tableau Collaborate with business teams to define metrics and performance indicators Present analytical findings in a clear and concise manner to stakeholders Work on data cleansing, preprocessing, and ensuring data quality Use statistical techniques to identify trends and patterns Requirements: MBA with a focus on Analytics, Data Science, or a related specialization Strong knowledge of Excel, SQL, and at least one visualization tool Basic understanding of Python/R is a plus Excellent written and verbal communication skills Strong problem-solving abilities and attention to detail Willingness to relocate or work in Guntur, Andhra Pradesh What to Send? Resume Cover Letter : Explain why you're passionate about analytics and why you'd be a great fit for Leaf N Beyond Pvt. Ltd.

Job Description As a Lead AEM Developer, you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for our clients. As a member working in a team environment you will work with solution architects and developers on interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design. The Lead Adobe AEM Web Content Management Developer will play a vital role in the development, design, testing and deployment of Adobe Experience Management Web and Mobile solutions. You will work closely with clients, developers, system administrators, project managers, business analysts and end users to build a state-of the-art Digital Platform using Adobe's Digital Marketing Product Suite. Responsibilities • Design efficient content models, security models, workflows and templates. • Develop AEM templates and components leveraging current AEM software releases • Work with junior developers to mentor. • Conduct code reviews. • Employ strong coding standards for efficiency, readability, and reuse. • Develop and oversee OSGI bundles, AEM templates, HTL/Sightly components and services, AEM launches, workflows, localization features, AEM Mobile and Forms applications and the AEM DAM • Develop Digital Consumer experiences using Adobe’s AEM product suite, including WCM, DAM and Social Collaboration • Develop powerful features such as multi-site and multi-channel delivery, personalization/targeting, content aggregation & syndication, multi-lingual support, automated workflow management, social media etc. • Interact with clients to create end-to-end specifications for content & collaboration solutions and present architectural decisions to stakeholders • Conduct code reviews for ongoing projects to ensure optimal code quality and appropriate design patterns are used • Work with project managers to ensure that all project deliverables are on time and high quality • Work collaboratively with other teams; QA, UX, etc. • Assist in deploying applications to Dev, QA, Production environments Skills & Experience • 5-8 years of overall experience in Web Application Development with Adobe Experience Manager & other Java/J2EE Frameworks • Bachelor's Degree in Computer Science, Engineering, or a related field • Experience developing Templates, Components, Dialogs, Widgets, Workflows, Fragments in AEM v6 • Proficient in Day CQ / Adobe AEM foundational concepts, including the use of core frameworks such as Apache Sling and Apache Felix, a solid understanding of all of the related building blocks including templates, components, dialogs, widgets, etc., and the Adobe AEM development and deployment process. • Good understanding of Day CQ /Adobe AEM WCM capabilities including Multi-site manager and Blueprinting, and the use of online marketing components such as advanced targeting / personalization, and multi-variate testing, is preferred. • Proficient knowledge of the end-to-end content lifecycle, web content management, content publishing deployment, and delivery processes. • Good understanding of integration patterns and content-centric application development patterns using Day CQ / Adobe AEM with or without a Portal, Search, Commerce package or other platforms, is preferred. • Strong understanding of SDLC methodologies (Agile, SCRUM) • Deep understanding of Java, Java EE, Servlets, HTL/Sightly skills, combined with a strong understanding of enterprise Java frameworks such as Spring. • Familiarity with basic Linux or Unix concepts and commands • Good communication and teamwork skills • Knowledge of HTML5, CSS3, JavaScript and JavaScript frameworks/libraries ( jQuery, Grunt, Bootstrap etc.), and CSS preprocessing platforms (SASS) • Knowledge of Continuous Integration and related tools (Jenkins/ CruiseControl/ Maven/ GitHub) • Experience implementing web content management systems in a large corporate environment. • Experience with object-oriented design and design patterns • Excellent estimation abilities in scoping work in a highly complex environment • Experience with web and application servers, such as Apache and Tomcat • Exposure to open-source technologies • Experience in Adobe Campaign, Adobe Analytics and Adobe Target and Adobe migration project would be plus Benefits of Working Here • Benefits of the both the worlds - Enthusiasm & Learning Curve of a Start Up, Deliveries & Performance of an Enterprise Service Provider • Flexible Working Hours with delivery oriented approach • Sky is the limit, when it comes to learning, growth & ideas • We do not follow the typical corporate hierarchy ladder As part of our dedication to an inclusive and diverse workforce, TechChefz is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. 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Job Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. Responsibilities Assist in collecting, cleaning, and preprocessing data from various sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Develop and implement machine learning models and algorithms. Create data visualizations and reports to communicate findings to stakeholders. Collaborate with team members on data-driven projects and research. Participate in meetings and contribute to discussions on project progress and strategy. Work with large datasets to clean, preprocess, and analyze data. Build and deploy statistical and machine learning models to generate actionable insights. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. Assist in the creation of data visualizations and dashboards for reporting insights. Support the development and improvement of data pipelines and algorithms. Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. Contribute to the documentation and presentation of results, findings, and recommendations. Participate in team meetings, brainstorming sessions, and project discussions. Duration: 2 Months (with the possibility of extending up to 6 months) MODE: Work From Home (Online) Requirements Any Graduate / PassOuts / Freasher can apply. Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong foundation in statistics, probability, and data analysis techniques. Benefits Internship Certificate Letter of recommendation Stipend Performance Based Part time work from home (2-3 Hrs per day) 5 days a week, Fully Flexible Shift

Job Title: AI/ML Engineer Experience: 4+ Years Location: Remote Employment Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with 4+ years of experience to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will have strong expertise in Python , traditional ML algorithms , deep learning , and Generative AI frameworks like LLMs, diffusion models, or transformers . Key Responsibilities: Design, implement, and optimize machine learning models for classification, regression, clustering, and recommendation systems. Work with Generative AI models such as GPT, BERT, Stable Diffusion, or custom transformers for text/image/audio applications. Build and deploy end-to-end ML pipelines from data ingestion to model deployment and monitoring. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Conduct research and experimentation with new ML algorithms and GenAI architectures. Optimize models for performance, scalability, and inference efficiency. Ensure data integrity, privacy, and compliance in AI workflows. Document models, experiments, and ML infrastructure. Required Skills: 4+ years of experience in AI/ML Engineering or similar roles. Strong programming experience in Python and libraries like scikit-learn, Pandas, NumPy . Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX . Experience building or fine-tuning LLMs (GPT, T5, Llama, etc.) or image generation models like Stable Diffusion . Familiarity with prompt engineering and retrieval-augmented generation (RAG). Experience with ML lifecycle tools like MLflow, Weights & Biases , or SageMaker . Exposure to APIs, containerization (Docker), and cloud platforms (AWS/GCP/Azure) for ML deployment. Strong understanding of statistics, optimization, and data preprocessing techniques. Nice to Have: Knowledge of LangChain, LlamaIndex, Haystack for GenAI workflows. Experience in Vector databases like Pinecone, FAISS, or Weaviate. Contributions to open-source AI/ML projects or research publications. Experience with MLOps practices and CI/CD for ML models.

Job description We are looking for 2+ years exp AI Developer to work at our organisation Job Description: We are looking for passionate and talented AI to join our team and work on cutting-edge artificial intelligence and machine learning projects. This role will provide hands-on experience in AI model development, data processing, and deploying intelligent solutions. Key Responsibilities: Develop, train, and test machine learning and deep learning models Work with large datasets, preprocess data, and optimize models Implement AI algorithms for real-world applications such as NLP, computer vision, and predictive analytics Collaborate with cross-functional teams to integrate AI solutions into products Stay updated with the latest AI advancements and research Write clean, efficient, and well-documented code Required Skills: Strong understanding of machine learning, deep learning, and AI concepts Proficiency in Python and AI libraries Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Job Types: Full-time, Permanent Job Types: Full-time, Permanent Benefits: Provident Fund Location Type: In-person Schedule: Day shift Morning shift Application Question(s): How many years of AI Developer experience your having? Current Salary and Salary Expectation Notice period duration Experience: ML and Deep learning: 2 years (Preferred) Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities.

Job Title : Gen-AI : 5+ : Remote Time Zone : IST Primary Tech Stack : ASR, LLM, Prompt Engineering & RAG Tech Stack : Job Summary Automatic Speech Recognition (ASR) Models and Audio Input Processing Voice-to-Text Translation & Noise Cancellation for Indian Languages Use Large Language Model (LLM) APIs, Prompt Engineering & RAG Model Development Agentic AI Development Tool Integration & Orchestration Machine Learning Recommendation Systems, Model Development & Optimization Detailed Requirement (Must Have) Experience with multilingual ASR models (e.g., Whisper, Google Speech-to-Text, Vosk, Wav2Vec2) Audio preprocessing: sampling, filtering, feature extraction, signal processing for noise reduction etc. (MFCCs, spectrograms) Understanding speech datasets (e.g., Common Voice, Indic TTS) Strong knowledge of NLP techniques & familiarity with Indic NLP (e.g., transliteration, tokenization) Interfacing with Pretrained LLM APIs like OpenAI, Azure OpenAI, Anthropic, Llama, Phi, Gemma etc. Knowledge of Hugging Face Services Prompt engineering techniques and understanding LLM behaviour, temperature, top_p, stop sequences, token limits, rate limits, and context management Solid understanding of Vector Database & Embedding Knowledge Strong Experience with RAG Model Development & Validation Building autonomous agents using frameworks like LangChain or AutoGen Tool integration and memory management for agents Defining tool specs (input/output schema) and Handling tool chaining and fallback logic Solid foundation in Machine Learning development specially hands on with recommendation system Experience with ML Model life-cycle management & optimization Solid foundation in Python (OOP, concurrency, decorators, generators) Good To Have Web Application Development Health Care Domain Knowledge DevOps & Deployment Monitoring & Metrics Key Responsibilities Design, develop, and deploy multilingual Automatic Speech Recognition (ASR) solutions, focusing on Indian languages, including voice-to-text translation and noise cancellation techniques. Build and integrate Large Language Models (LLMs) via APIs, leveraging prompt engineering and Retrieval-Augmented Generation (RAG) frameworks to create innovative AI applications. Architect and implement Agentic AI systems, including tool integration, orchestration, and memory management, utilizing frameworks like LangChain or AutoGen. Develop and optimize machine learning models, particularly recommendation systems, throughout their lifecycle. Conduct thorough audio preprocessing, including sampling, filtering, feature extraction (e.g., MFCCs, spectrograms), and noise reduction, to enhance ASR model performance. Work with and understand various speech datasets (e.g., Common Voice, Indic TTS) and apply appropriate NLP techniques, with a focus on Indic NLP (e.g., transliteration, tokenization). Experiment with and evaluate different pretrained LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Llama, Phi, Gemma) and Hugging Face services to determine optimal solutions. Implement and refine prompt engineering strategies to guide LLM behavior and ensure desired outputs, considering parameters like temperature, top_p, stop sequences, and context management. Design and implement vector databases and embedding techniques to support efficient information retrieval for RAG models. Develop, validate, and iterate on RAG model architectures to improve accuracy and relevance of generated responses. Define tool specifications (input/output schema) and implement robust tool chaining and fallback logic within autonomous agent frameworks. Apply strong Python programming skills, including OOP, concurrency, decorators, and generators, to build scalable and efficient AI solutions. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Stay up-to-date with the latest advancements in Gen-AI, ASR, LLMs, and related technologies. (ref:hirist.tech)

We are looking for a Full-Stack AI Developer with expertise in Generative AI and Large Language Models (LLMs) to lead the design and development of AI-driven applications. This role demands strong full-stack capabilities-ranging from intuitive front-end design to training and deploying backend AI models and managing scalable infrastructure. Key Responsibilities Front-End Development : Design and build intuitive, user-friendly interfaces for AI-powered applications. Utilize modern web frameworks (e.g., React, Vue.js) to develop responsive UI/UX. Optimize front-end performance and ensure cross-browser compatibility. Back-End Development Develop robust, scalable backend systems for AI model deployment. Design and maintain RESTful APIs for seamless front-end and back-end integration. Manage cloud-based infrastructure using platforms like AWS or Azure. AI Model Development Train, fine-tune, and deploy cutting-edge generative AI and LLM models. Use frameworks such as TensorFlow and PyTorch for deep learning model development. Build efficient inference pipelines for low-latency predictions. Data Engineering Design and maintain data pipelines for model training and evaluation. Perform preprocessing and cleaning of large datasets to enhance model performance. Implement data versioning, monitoring, and reproducibility strategies. Preferred Qualifications Graduate degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of full-stack development experience. 2+ years of hands-on experience in AI/ML, especially with generative AI and LLMs. Strong grasp of machine learning algorithms and NLP techniques. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies Strong problem-solving and architectural design abilities. Excellent communication and cross-functional collaboration skills. Self-motivated with the ability to manage multiple projects simultaneously. Passion for learning and keeping up with the latest trends in AI/ML and LLMs. (ref:hirist.tech)

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 : NA Minimum 3 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Company Description TrueFan uses proprietary AI technology to connect fans and celebrities and is now focused on revolutionizing customer-business interactions with AI-powered personalized video solutions. Our platform enables brands to create unique, engaging video experiences that drive customer loyalty and deeper connections. Company Overview We are a cutting-edge AI company focused on developing advanced lip-syncing technology using deep neural networks. Our solutions enable seamless synchronisation of speech with facial movements in videos, creating hyper-realistic content for various industries such as entertainment, marketing, and more. Position : MLOps Engineer We are looking for a talented and motivated MLOps Engineer to join our team. The ideal candidate will play a crucial role in managing and scaling our machine learning models and infrastructure, enabling seamless deployment and automation of our lip-sync video generation systems. Key Responsibilities Model Training/Deployment Pipelines and Monitoring : Design, implement, and maintain scalable and automated pipelines for deploying deep neural network models. Monitor and manage Production models, ensuring high availability, low latency, and smooth performance. Automate workflows for data preprocessing (face alignment, feature extraction, audio analysis), model retraining, and video generation. Implement Logging, Tracking, and Monitoring Systems to ensure data integrity and visibility into the model lifecycle. Infrastructure Management Build and manage cloud-based infrastructure (AWS, GCP, or Azure) for efficient model training, deployment, and data storage. Collaborate with DevOps to manage containerization (Docker, Kubernetes) and ensure robust CI/CD pipelines using github and jenkins for model delivery. Monitor resource for GPU/ CPU-intensive tasks like video processing, model inference, and training using Prometheus , Grafana, alert manager, ELK stack. Collaboration Work closely with ML engineers to integrate models into production pipelines. Provide tools and frameworks for rapid experimentation and model versioning. Required Skills Basic Python Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services. Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) Have understanding of Deployment of both synchronous and asynchronous API using Flask, Django, Celery, Redis, RabbitMQ , Kafka Deployed and Scaled AI/ML in Production. Familiarity with deep learning frameworks (TensorFlow, PyTorch). Familiarity with video processing tools like FFMPEG and Dlib for handling dynamic frame data. Basic understanding of ML models Preferred Qualifications Experience in image and video-based deep learning tasks. Familiarity with media streaming and video processing pipelines for real-time generation. Experience with real-time inference and deploying models in latency-sensitive environments. Strong problem-solving skills with a focus on optimising machine learning model infrastructure for scalability and performance (ref:hirist.tech)

Responsibilities Design, develop, and implement Generative AI solutions, with a core focus on Large Language Models (LLMs). Build and manage the infrastructure required for training, fine-tuning, and deploying LLMs in a scalable manner. Utilize Python and relevant AI/GenAI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers) for model development and experimentation. Employ data manipulation libraries such as Pandas and NumPy for efficient data preprocessing and analysis crucial for GenAI models. Develop robust and scalable APIs using FastAPI to expose GenAI models and functionalities to other applications and services. Apply strong software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD), and automated testing, throughout the GenAI solution development lifecycle. Implement and manage MLOps workflows for the efficient deployment, monitoring, and maintenance of GenAI models in a production environment. Utilize DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform to automate infrastructure provisioning and application deployment for AI/GenAI solutions. Implement and maintain advanced CI/CD pipelines to ensure the rapid and reliable delivery of GenAI applications. Collaborate effectively with data scientists, researchers, and other engineers in a remote setting to translate business requirements into technical GenAI solutions. Contribute to the design and architecture of our remote AI platform and infrastructure. Stay up-to-date with the latest advancements in Generative AI, LLMs, MLOps, and related technologies. Skills Required 5+ years of professional experience with a strong focus on Python development and AI/GenAI frameworks. Proven expertise in implementing and managing Large Language Models (LLMs). Strong proficiency in Python and experience with AI/GenAI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Extensive experience with data manipulation libraries such as Pandas and NumPy. Solid experience in developing APIs using FastAPI. Comprehensive Understanding Of Software Engineering Principles, Including Version control using Git. Continuous Integration and Continuous Deployment (CI/CD) practices. Automated testing methodologies. Essential experience in MLOps and ML Engineering, with a demonstrable track record of developing and maintaining AI solutions in production. Proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform. Experience implementing advanced CI/CD pipelines. Excellent written and verbal communication skills for effective remote collaboration. Ability to work independently and proactively in a remote environment. (ref:hirist.tech)

Job Summary XtraNet Technologies is seeking a highly experienced and results-oriented AI/ML Ops Professional to join our dynamic team in Gandhinagar. In this critical role, you will be instrumental in bridging the gap between our AI/ML development efforts and their seamless deployment and operationalization. You will leverage your deep expertise in developing, deploying, and managing machine learning models and algorithms to solve complex business challenges across diverse domains. As a sector expert, you will provide invaluable guidance on R&D initiatives and the strategic application of AI/ML technologies, including Natural Language Processing (NLP) and Generative AI, to enhance our service offerings and drive innovation for our clients. What You'll Do Lead and participate in the end-to-end lifecycle of machine learning models, from ideation and experimentation to deployment and monitoring in production environments. Design, develop, and implement scalable and efficient machine learning models and algorithms using relevant programming languages (e.g., Python), frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and tools. Develop robust deployment pipelines using MLOps best practices and tools to ensure reliable and automated deployment of AI/ML models. Implement model versioning, rollback strategies, and continuous integration/continuous deployment (CI/CD) for AI/ML workflows. Establish and maintain robust monitoring systems to track the performance, health, and drift of deployed AI/ML models. Implement alerting mechanisms and proactive measures to identify and address potential issues in production AI/ML systems. Optimize the performance and scalability of deployed AI/ML models and infrastructure. Troubleshoot and resolve issues related to deployed AI/ML models and their underlying infrastructure. Serve as a subject matter expert in Artificial Intelligence and Machine Learning, providing guidance and insights to internal teams and clients on the application of AI/ML technologies. Conduct research and development (R&D) activities to explore and evaluate new AI/ML techniques, tools, and platforms, particularly in areas like Natural Language Processing (NLP) and Generative AI. Provide strategic guidance on the usage and implementation of NLP technologies (e.g., text classification, sentiment analysis, information extraction, language modeling) and Generative AI models for various business applications. Stay abreast of the latest advancements in AI/ML, MLOps, and related fields, and proactively share knowledge and best practices within the organization. Leverage your proven track record in solving complex business problems using AI/ML in diverse domains such as natural language processing, computer vision, or reinforcement learning Collaborate with business analysts and domain experts to understand business challenges and identify opportunities for AI/ML-driven solutions. Lead the exploration and prototyping of innovative AI/ML solutions to address client needs and enhance our service offerings. Work closely with data scientists, software engineers, infrastructure teams, and business stakeholders throughout the AI/ML lifecycle. Effectively communicate technical concepts and findings to both technical and non-technical audiences. Participate in technical design discussions and contribute to the overall AI/ML strategy and architecture. Document AI/ML workflows, deployment processes, and monitoring : Educational Background MCA (Master of Computer Applications) OR BE / B.Tech with specialization in Computers / Electronics & Communication (or equivalent) OR M.Sc. in Computer Science / IT Professional Experience Minimum of 7+ years of hands-on experience in developing, deploying, and managing machine learning models and algorithms in production environments. Technical Skills Strong proficiency in programming languages relevant to AI/ML (e.g., Python). Extensive experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of machine learning algorithms and techniques across various domains (e.g., supervised learning, unsupervised learning, deep learning, reinforcement learning). Proven experience in developing and deploying NLP models (e.g., using libraries like NLTK, SpaCy, Hugging Face Transformers) and understanding of NLP concepts (e.g., text preprocessing, embeddings, sequence modeling). Familiarity with Generative AI models (e.g., GANs, VAEs, Large Language Models) and their potential applications. Strong understanding of MLOps principles and best practices, including model deployment, monitoring, and lifecycle management. (ref:hirist.tech)

Job Title: Data Scientist Job Summary We're seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models, analyzing complex data sets, and communicating insights to : Collect, analyze, and interpret large data sets to identify trends and patterns Develop and deploy machine learning models to solve complex business problems Collaborate with cross-functional teams to identify and prioritize project requirements Communicate insights and recommendations to stakeholders through reports, presentations, and visualizations Stay up-to-date with industry trends and emerging technologies in data science and machine Requirements : 3+ years of experience in data science and machine learning Strong expertise in machine learning algorithms, including supervised and unsupervised learning Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras Strong understanding of data preprocessing, feature engineering, and model evaluation Experience with data visualization tools such as Tableau, Power BI, or D3.js Soft Skills Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Ability to adapt to changing requirements and priorities Nice to Have Experience with big data processing technologies such as Hadoop, Spark, or Flink Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Experience with agile development methodologies Certification in data science, machine learning, or related fields (ref:hirist.tech)

Role Overview As a Python Developer specializing in OCR and data extraction, you will drive endtoend delivery of scalable documentintelligence solutions. Youll partner with crossfunctional teams to architect and ship robust pipelines that transform unstructured files into actionable data, leveraging cuttingedge OCR libraries and generative AI Responsibilities : Architect & Develop : Design and implement Python applications focused on OCR driven data extraction workflows. OCR Integration : Integrate and optimize Tesseract, EasyOCR, PaddleOCR and cloudbased services (AWS Textract, Google Vision). PreProcessing & Enhancement : Apply OpenCV, PIL and NumPy techniques to clean, segment, and enhance images for superior recognition accuracy. Data Structuring : Build custom parsing logic to normalize, validate and store extracted information in downstream systems. LLM & Gen AI Enablement : Incorporate Large Language Models (e.g., GPTbased, LayoutLM, Donut) to enrich document understanding, classification, and entity extraction. Collaboration & Delivery : Liaise with backend, data science, and DevOps teams to ensure seamless CI/CD integration, monitoring, and support. Quality & Documentation : Write modular, test driven code; maintain clear documentation; and conduct peer reviews to uphold code quality and compliance Have Skills : Expert proficiency in Python and core automation/data processing libraries (NumPy, Pandas). Handson experience with OCR libraries (Tesseract, EasyOCR, PaddleOCR) and handling PDF/image parsing. Solid understanding of RESTful API integration and largescale document workflows. Proficient in image preprocessing using OpenCV and PIL to maximize OCR accuracy. Strong analytical, debugging, and problem solving capabilities in production to Have : Proven track record deploying LLM driven document intelligence solutions (e.g., GPT, LLaMA) or Gen AI frameworks. Worked with Langchain and Vector DB Familiarity with AI document models such as LayoutLM, Donut, TrOCR for advanced layout parsing. Exposure to NLP tasks : document classification, entity recognition, semantic search. Experience with containerization (Docker), version control (Git), and cloud platforms (AWS/GCP/Azure). (ref:hirist.tech)

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients' needs. You Will Collaborate With Cross-functional Teams To Integrate AI Models Into Our Products And Services, Leveraging Cutting-edge Technologies To Drive Innovation And Deliver Impactful Design and develop AI models and algorithms to solve business problems. Implement machine learning and deep learning algorithms for various applications. Collaborate with data scientists and engineers to preprocess data and build datasets for training models. Integrate AI models into software applications and platforms. Optimize AI models for performance, scalability, and efficiency. Conduct research to stay current with the latest advancements in AI and machine learning technologies. Test and validate AI models to ensure accuracy and reliability. Deploy AI models into production environments and monitor their performance. Collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with AI frameworks and libraries (e., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms and techniques (e., supervised learning, unsupervised learning, reinforcement learning). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (e., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications Experience with natural language processing (NLP) and computer vision applications. Familiarity with big data technologies (e., Hadoop, Spark) for handling large-scale datasets. Understanding of DevOps practices and experience with CI/CD pipelines. Publications or contributions to the AI and machine learning community (e., research papers, open-source projects). (ref:hirist.tech)