1990 Preprocessing Jobs - Page 41

Company Description We are looking for Research Associate for ISRO Funded Project. Role Description This is a full-time on-site role for a Research Associate for Thermal Image Processing Project at Saveetha School of Engineering located in Chennai. The Research Associate will be responsible for conducting research and developing algorithms for thermal image processing projects. The role includes data collection, preprocessing, algorithm development, and testing of thermal imagery in various applications. The Research Associate will work closely with the research team and project stakeholders to meet project objectives and timelines. Qualifications Degree in Engineering or higher in Computer Science Strong knowledge and experience in image processing and computer vision Proficiency in programming languages such as Open CV, Python, MATLAB, or C++ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and machine learning algorithms Knowledge of thermal imaging technologies and applications Experience with image data collection, preprocessing, and annotation Ability to analyze and interpret thermal imaging data Good understanding of statistical analysis and data visualization Excellent problem-solving and analytical skills Strong written and verbal communication skills Ability to work independently and collaborate effectively in a team environment

BIMCAP Private Limited BIMCAP is an international BIM outsourcing company with an expanding portfolio of cultural, infrastructure, and commercial projects around the world. We are leaders in BIM innovation, growth of BIM talents, and unique for our supportive family-like culture that expanded from Hong Kong to Netherlands, England, Germany, Hungary, Spain, and Philippines. This role is based out of Bhilai, Chhattisgarh, for BIMCAP’s subsidiary company registered as Ecliptiko Private Limited . Job Summary We are looking for a driven and curious AI Engineer with hands-on experience in Large Language Models (LLMs). In this role, you’ll work on end-to-end development and deployment of LLM-based solutions, including prompt engineering, model fine-tuning, and cloud-based deployment. You’ll collaborate closely with product and engineering teams to build intelligent, scalable, and secure AI-powered systems. Key Responsibilities Design, develop, and optimize prompt strategies for LLM-based applications. Fine-tune pre-trained models (e.g., OpenAI, Hugging Face, etc.) using custom datasets. Build and deploy LLM-powered APIs and services in cloud environments (AWS, GCP, or Azure). Integrate LLMs into applications with efficient inference and cost-aware strategies. Conduct evaluations, benchmarking, and A/B testing for LLM outputs. Collaborate on data collection, preprocessing, and feature engineering tasks. Stay up to date with the latest in GenAI research and toolchains. Requirements 2+ years of industry experience in AI/ML or related fields. Strong grasp of NLP concepts, transformers, and recent LLM developments. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar). Experience with prompt engineering and prompt evaluation. Hands-on experience with cloud platforms (AWS/GCP/Azure), Docker, and CI/CD. Familiarity with APIs and SDKs of major LLM providers (e.g., OpenAI, Cohere, Anthropic). Understanding of data privacy, security, and ethical considerations in AI. Preferred Qualifications Experience with tools like LangChain, LlamaIndex, or Vector DBs (e.g., FAISS, Pinecone). Exposure to Retrieval-Augmented Generation (RAG) systems. Knowledge of MLOps best practices and ML model lifecycle management

JD – AI/ML Engineer This is a full-time position with D Square Consulting Services Pvt Ltd Required Experience - 6-7 years Location – Bangalore Work mode - Onsite The candidate who can join within 30 days Job Summary The AI/ML Engineer will lead end-to-end design, development, and deployment of advanced, value-driven AI/ML solutions for digital marketing and analytics. Drive innovation, leverage cutting-edge techniques, and standardize multi-cloud model deployment through collaboration, delivering profound data insights. Required Qualifications- Bachelor’s degree (or higher preferred) in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with emphasis on quantitative methods. 6-7 years’ experience in software engineering with deep, hands-on expertise in the full lifecycle of ML model development, deployment, and operationalization. Demonstrated ability to write highly robust, efficient, and scalable Python, Java, Spark, and SQL code, adhering to industry best practices. Extensive experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and advanced deep learning libraries, including optimization. Strong, in-depth understanding of diverse ML algorithms (e.g., advanced regression, classification, clustering, RNNs, CNNs, transformers, time series, reinforcement learning), sophisticated data structures, and enterprise software design. Significant experience deploying and managing AI/ML models on major cloud platforms (Azure, AWS, GCP). Proven experience with LLMs and generative AI (fine-tuning, prompt engineering, deployment) is highly desirable. Exceptional problem-solving skills in a fast-paced, collaborative remote environment. Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence diverse global teams remotely. Experience with classification, time series forecasting, customer lifetime value models, LLMs, and generative AI, preferably from the Retail, e-commerce, or CPG industry. Responsibilities- Lead cross-functional teams to deliver and scale complex AI/ML solutions (DL, NLP, optimization). Architect, design, develop, train, and evaluate high-performance, production-ready AI/ML models, ensuring scalability and robustness. Drive implementation, deployment, and maintenance of AI/ML solutions, optimizing inference, and documenting processes. Oversee data exploration, advanced preprocessing, complex feature engineering, and robust data pipeline development. Establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models to ensure accuracy and reliability. Partner with senior stakeholders to translate business requirements into scalable AI solutions that deliver measurable value. Act as a primary SME on AI/ML model development, MLOps, and deployment, influencing global data science platforms. Continuously research and champion the adoption of the latest AI/ML technologies, algorithms, and best practices to maximize business value. Foster innovative thinking and continuous improvement, seeking superior ways of working for teams and partners.

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications. Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 4 - 10 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Voice & Speech Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Tools & Programming skills: Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

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.

Job purpose: Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems. Who You Are: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus. 5+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP. Proven expertise in end-to-end system design and deployment of production-grade AI systems. Hands-on experience with Java/Node.js/.NET for backend development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Key Responsibilities: 1. Model Development & Training: Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification. Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face. 2. Prompt Engineering: Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems. Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency. 3. End-to-End System Design: Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs. Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications. Design and implement data pipelines for preprocessing, feature engineering, and model inference. 4. Integration & Deployment: Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP). Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications. 5. Performance Optimization: Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation. Monitor and improve system performance through logging, metrics, and A/B testing. 6. Collaboration & Leadership: Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives. Mentor junior engineers and contribute to best practices for AI/ML development. What will excite us: Strong understanding of LLM architectures and prompt engineering techniques. Experience with backend development using Java/Node.js (Express)/.NET Core. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD). Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. What will excite you: Lead AI innovation in a fast-growing, technology-driven organization. Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications. Engage with top-tier enterprise clients and drive AI transformation at scale. Location: Ahmedabad

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

Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Type: Contractual / Temporary Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Paid time off Application Question(s): Do you hold a valid passport? When can you join us? Experience: AI and ML: 3 years (Preferred) Work Location: In person

Functional Area: Data Science & AI/ML Employment Type: Full Time, Permanent Role Category: Engineering and Technology Experience: 4-6 years Job Description: As a growing organization in the healthcare domain, we seek a Data Science Application Expert with expertise in JupyterLab, SAS Studio, and R Studio. The ideal candidate will design, develop, and optimize data science workflows, ensuring robust, scalable, and efficient data processing pipelines. You will collaborate with cross-functional teams to support data-driven decision-making, build machine learning models, and implement analytical solutions aligned with industry standards for security and compliance. Key Responsibilities: Data Science & Application Management: Develop, manage, and optimize JupyterLab, SAS Studio, and R Studio environments for data science workflows. Support and troubleshoot Jupyter Notebooks, R scripts, and SAS programs for performance and reliability. Assist data scientists and analysts in configuring and optimizing their analytical workflows. Maintain and enhance computational environments to support data exploration, statistical modeling, and machine learning. Machine Learning & Analytics: Implement and manage machine learning models using Python (TensorFlow, Scikit-learn, PyTorch), R, and SAS. Automate data preprocessing, feature engineering, and model training workflows. Work with AWS SageMaker, EMR, and other cloud-based ML solutions for scalable model deployment. Monitor and optimize model performance, ensuring reproducibility and efficiency. Data Engineering & Integration: Design and optimize ETL (Extract, Transform, Load) pipelines to handle large-scale healthcare datasets. Integrate JupyterLab, SAS Studio, and R Studio with cloud-based storage (AWS S3, Redshift, Snowflake). Manage structured and unstructured data, ensuring data integrity and compliance with healthcare standards (HIPAA, GDPR). Optimize query performance for large datasets using SQL, Pandas, and SAS data steps. Infrastructure as Code (IaC) & Cloud Deployment: Deploy and manage JupyterHub, RStudio Server, and SAS Viya on AWS, Azure, or on-premise environments. Automate environment provisioning using Terraform, AWS CDK, or CloudFormation. Ensure efficient resource allocation and auto-scaling of cloud-based data science environments. Security & Compliance: Implement role-based access controls (RBAC) for secure access to data science applications. Ensure data security and encryption using AWS KMS, Secrets Manager, and IAM policies. Adhere to HIPAA, GDPR, and other regulatory compliance requirements for healthcare data. Collaboration & Stakeholder Management: Work closely with data scientists, engineers, and business analysts to understand analytical requirements. Participate in Agile ceremonies, including sprint planning, standups, and retrospectives. Provide technical guidance and mentorship to junior team members. Job Requirements: Education: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields. Experience: 4-6 years of experience in data science application management, focusing on JupyterLab, SAS Studio, and R Studio. Technical Skills: Core Data Science Platforms: Expertise in JupyterLab, SAS Studio, and R Studio for data science workflows. Strong understanding of SAS programming (Base SAS, Advanced SAS, SAS Viya), R, and Python. Experience in managing and scaling JupyterHub, RStudio Server, and SAS Viya in cloud or on-prem environments. Programming & Frameworks: Proficiency in Python, R, SAS, SQL, and shell scripting. Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch for machine learning. Cloud & Infrastructure: Experience in deploying and managing JupyterLab, R Studio, and SAS Viya on AWS, Azure, or GCP. Hands-on experience with AWS SageMaker, Glue, Lambda, Step Functions, and EMR. Proficiency in Terraform, AWS CDK, or CloudFormation for infrastructure automation. Database Management & ETL: Experience with SQL, NoSQL databases (PostgreSQL, DynamoDB, Snowflake, Redshift, MongoDB). Hands-on experience in ETL pipelines and data wrangling using SAS, Python, and SQL. DevOps & CI/CD Tools: Familiarity with CI/CD pipelines using Jenkins, GitLab, or AWS native tools. Experience with Docker, Kubernetes, and containerized deployments. Additional Skills: Event-Driven Architecture: Experience in real-time data processing using Kafka, Kinesis, or SNS/SQS. Security Best Practices: Implementation of secure access controls and data encryption. Cost Optimization: Understanding cloud pricing models and optimizing compute resources. Agile Development: Hands-on experience with Agile methodologies like Scrum and Kanban. Key Attributes: Problem-Solving Mindset: Ability to troubleshoot complex data science workflows and propose scalable solutions. Detail-Oriented: Strong focus on data integrity, performance optimization, and reproducibility. Collaborative: Team player who thrives in a dynamic, cross-functional environment. User-Centric Approach: Commitment to delivering scalable and efficient data science applications.

About Velsera Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? Train, fine-tune, and deploy Large Language Models (LLMs) to solve real-world problems effectively Design, implement, and optimize AI/ML pipelines to support model development, evaluation, and deployment Collaborate with Architect, software engineers, and product teams to integrate AI solutions into applications Ensure model performance, scalability, and efficiency through continuous experimentation and improvements Work on LLM optimization techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, etc Manage and automate the infrastructure necessary for AI/ML workloads while keeping the focus on model development Work with DevOps teams to ensure smooth deployment and monitoring of AI models in production Stay updated on the latest advancements in AI, LLMs, and deep learning to drive innovation Requirements What do you bring to the table? Strong experience in training, fine-tuning, and deploying LLMs using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers Hands-on experience in developing and optimizing AI/ML pipelines, from data preprocessing to model inference Solid programming skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn Strong understanding of tokenization, embeddings, and prompt engineering for LLM-based applications Hands-on experience in building and optimizing RAG pipelines using vector databases (FAISS, Pinecone, Weaviate, or ChromaDB) Experience with cloud-based AI infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes) Experience in model monitoring, A/B testing, and performance optimization in a production environment Familiarity with MLOps best practices and tools (Kubeflow, MLflow, or similar) Ability to balance hands-on AI development with necessary infrastructure management Strong problem-solving skills, teamwork, and a passion for building AI-driven solutions Benefits Flexible Work & Time Off - Embrace hybrid work models and enjoy the freedom of unlimited paid time off to support work-life balance Health & Well-being - Access comprehensive group medical and life insurance coverage, along with a 24/7 Employee Assistance Program (EAP) for mental health and wellness support Growth & Learning - Fuel your professional journey with continuous learning and development programs designed to help you upskill and grow Recognition & Rewards - Get recognized for your contributions through structured reward programs and campaigns Engaging & Fun Work Culture - Experience a vibrant workplace with team events, celebrations, and engaging activities that make every workday enjoyable & Many More..

About the Company : ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. The company provides technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner. Responsibilities : Application Design: Architect and develop robust, scalable applications using .NET technologies. Front-End Development: Implement responsive UI designs using Angular and modern front-end practices. Database Management: Design and manage database systems using SQL(Expert level) for structured and unstructured data. Cloud Solutions: Utilize Azure cloud services for application deployment, scalability, monitoring, and security. GenAI Integration: Design and implement solutions that incorporate generative AI technologies, leveraging models like GPT, LLMs, and Azure OpenAI Services for business use cases. Collaboration: Work closely with cross-functional teams to translate complex business requirements into technical architectures. Code Quality: Conduct detailed code reviews, enforce coding standards, and mentor the development team. Continuous Integration: Implement CI/CD pipelines to ensure efficient development and deployment processes. Research & Innovation: Stay updated on advancements in .NET, Angular, MongoDB, Azure, SQL, and GenAI technologies to propose innovative solutions. Technical Proficiency: Strong understanding of RESTful APIs, microservices architecture, and front-end technologies (HTML5, CSS3, JavaScript). Version Control: Proficiency with Git and CI/CD tools. Problem-Solving: Ability to debug complex technical issues and implement effective solutions. Qualifications : Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Preferred Skills : Experience with containerization tools like Docker and Kubernetes. Understanding of data preprocessing techniques and machine learning workflows. Familiarity with Agile development methodologies. Hands-on experience integrating AI solutions into applications.

Experience Required 2 to 3 years Job Description About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview Axis My India is seeking a skilled Data Analyst & Data Visualizer with at least 2 years of experience to join our team supporting the Axis My India “a” APP and custom projects. In this role, you will be responsible for analyzing, and interpreting data as well as designing impactful visualizations and dashboards. Your work will help drive data-driven decision-making, enhance user engagement, and support the company’s mission to connect and resolve problems for 250 million Indian households through innovative digital solutions. Key Responsibilities Collect, clean, and process data from multiple sources including databases, APIs, and third-party platforms to ensure data accuracy and reliability for the APP data and similarly for other custom projects. Analyze data to identify trends, patterns, and actionable insights that inform product development, market research, and social impact initiatives. Design and develop interactive dashboards and visualizations using tools such as Power BI or similar platforms to communicate findings clearly. Present complex data insights using fusion charts, concise reports and visual formats to technical and non-technical stakeholders. Collaborate closely with cross-functional teams including product, Technology, Operations and research to define analytics and visualization requirements. Monitor and report on key performance indicators (KPIs) relevant to the app’s usage, impact, and outreach. Ensure data integrity and governance throughout the data lifecycle. Stay updated on the latest analytics and visualization tools, techniques, and best practices to continuously improve the data experience for Axis My India projects and APP users. Creating the presentations, documents, reports based on requirement Required Skills & Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Design, or a related field. Minimum 2 years of professional experience in data analysis and data visualization roles. Proficiency in Python and Power BI. Proficient with basic statistics. Experience with data visualization tools like Power BI, PowerPoint and excel. Strong analytical, problem-solving, and data storytelling skills. Knowledge of data blending, dashboard optimization, and UI/UX principles. Excellent communication and collaboration skills, with the ability to translate complex data into actionable insights. Ability to manage multiple projects and deliver results in a fast-paced environment. Preferred Experience Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing and visualizing multiple survey data. Worked on basic statistics for data analysis Requirements Technical Skills Python: Data manipulation, analysis, and visualization with libraries like Pandas, NumPy, Matplotlib, and Seaborn. Power BI: Industry-standard tools for creating interactive dashboards and visual reports, enabling clear communication of insights to stakeholders. Matplotlib/Seaborn: Python libraries for custom visualizations and advanced charting. Excel: Useful for basic data analysis, quick visualizations, and reporting Proficiency in cleaning, preprocessing, and transforming raw data-handling missing values, outliers, duplicates, and standardizing formats to ensure data accuracy and reliability. Must be strong in using Statistical concepts for analysis and Visual design principles Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Data Transformation: Ability to transform complex data into compelling narratives that highlight key findings and support data-driven decision-making. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal teams, stakeholders, including senior executives, through reports, dashboards and presentations. Working with Cross-functional teams: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. 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LTIMIndtree is seeking a AI Assurance Architect for our Quality Engineering team in Bangalore. AI Expertise In-depth understanding of artificial intelligence, machine learning, and deep learning concepts. Knowledge of various AI frameworks, libraries, and tools (e.g., TensorFlow, PyTorch). Testing Methodologies Proficiency in designing and implementing testing methodologies specific to AI models and algorithms. Experience in testing different types of AI models, including supervised and unsupervised learning. Data Quality Assurance Expertise in assessing and ensuring the quality of training data for AI models. Familiarity with data preprocessing and cleaning techniques to enhance model performance. Automation and Tooling Strong skills in developing automation scripts using any of the Open-source tools for AI applications. Familiarity with specialized AI testing tools and frameworks. Performance and Scalability Testing Experience in assessing and optimizing the performance and scalability of AI models. Ability to simulate various scenarios to evaluate AI model behaviour under different conditions. Ethical AI Practices Knowledge of ethical considerations in AI and the ability to implement testing practices that align with responsible AI principles. Collaboration Effective collaboration with senior stakeholders, cross-functional teams. Regulatory Compliance Awareness of regulations and standards related to AI, ensuring testing practices comply with relevant guidelines. Problem-Solving Skills Strong analytical and problem-solving abilities to identify and address challenges in AI testing. Team Building Experience of building technology testing capability from scratch. LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, dis-ability or any other characteristic protected by applicable law.

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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. 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 brainstorm and develop innovative AI solutions. - Conduct research to stay updated on the latest advancements in AI and machine learning technologies. 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 Chennai office. - A 15 years full time education is required. 15 years full time education

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for? Bachelor's/Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work? Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

SynapseIndia is one of the top I.T. outsourcing companies based out of Noida with clients across the globe. We are 23+ years old organization and with expertise of more than two decades, we have worked with both large brands as well as startups. Why work with us? We are Microsoft Gold partner, Google partner, Shopify partner company with certified professionals. SynapseIndia is an MNC having clients and employees all over the world. SynapseIndia has 500 IT professionals and has plan to hire more than 500 more developers in the next 5 months. We have structured environment with industry leading CMMI level-5 compliant processes. Several IT professionals joined as developers/programmers and now they are leading a team . Salaries are always paid on time , from the time company started till date, there has never been a delay. Developers get an exposure to interact with international clients (Majorly USA clients) at a very early stage in career. Despite market conditions, we have not laid off people. We never work on holidays . This way, you can maintain your personal as well as professional life balance. Office timings are from 9:30 AM to 6:30 PM. 2nd and last Saturday of every month is off for everyone. Annual salary review – based on company and individual performance. This is permanent work from office job opportunity. Who are we looking for? Designation - Sr. Python Developer (AI ML) Experience Range - 5+ years What skills and experience are we looking for? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What is the work? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure.

Job Title: AI/ML Engineer Experience: 6+ Years Location: Remote Employment Type: Full-Time Job Summary: We are looking for a passionate and experienced AI/ML Engineer with 6+ years of hands-on experience in developing, deploying, and optimizing machine learning and deep learning models. The ideal candidate should have strong software engineering fundamentals, experience with end-to-end ML pipelines, and a deep understanding of AI/ML concepts. This is a remote position with the opportunity to work in a fast-paced, collaborative, and innovative environment. Key Responsibilities: Design, develop, and deploy machine learning models for real-world business use cases. Build end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment. Work with large-scale datasets using distributed computing tools like Spark or Dask. Deploy models in production using tools like Docker, Kubernetes, and cloud services (AWS/GCP/Azure). Collaborate with data scientists, data engineers, product managers, and software engineers. Optimize model performance, reduce latency, and ensure robustness in real-time environments. Research and experiment with new algorithms and ML approaches to improve existing solutions. Mandatory Skills: Programming Languages: Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), and working knowledge of SQL . ML/AI Skills: Strong understanding of supervised/unsupervised learning, deep learning (CNNs, RNNs, Transformers), NLP, and classical ML algorithms. Model Deployment: Experience with model serving frameworks (FastAPI, Flask, TensorFlow Serving, TorchServe) and MLOps practices. Cloud Platforms: Hands-on experience with at least one major cloud provider ( AWS, Azure, or GCP ) for AI/ML workloads. Tools & Frameworks: Familiarity with MLFlow, Airflow, DVC, Docker, Kubernetes. Data Handling: Experience with handling large datasets, data cleaning, feature engineering, and working with structured/unstructured data. Preferred Qualifications: Experience with Vector Databases , LLMs , LangChain , or Generative AI solutions. Knowledge of CI/CD in ML workflows and Infrastructure as Code (e.g., Terraform). Background in statistics, optimization , and experiment design . Exposure to Big Data tools like Spark, Hive, or Hadoop is a plus. Published papers, GitHub contributions, or Kaggle competition experience is an advantage.

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 : Natural Language Processing (NLP), Java, Spring MVC Good to have skills : NA Minimum 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 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 cohesive systems that address complex 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. - 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 systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of machine learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with data preprocessing techniques and tools for text data. - Ability to design and implement APIs for AI applications. Additional Information: - The candidate should have minimum 12 years of experience in Natural Language Processing (NLP). - This position is based at our Bengaluru office. - A 15 years full time education is required.

Company: Aiventory (A unit of Jazzoa Services OPC Private Limited) Location: Remote Stipend: ₹3,000 – ₹5,000/month Duration: 3 to 6 months Start Date: Immediate About Us: Aiventory is an AI-powered inventory management platform built specifically for India's Kirana stores and small retail businesses. We're on a mission to bring cutting-edge technology to the underserved sectors of India’s supply chain. We are currently seeking a passionate AI/ML Intern to join our product team and work closely on real-world machine learning applications like demand forecasting, anomaly detection, and computer vision for inventory intelligence. What You'll Work On: Building and training ML models (LSTM, ARIMA, Isolation Forest, etc.) Assisting in real-time prediction engine development for stock trends Image recognition using OpenCV or TensorFlow (barcode/label detection) Data preprocessing and feature engineering for retail datasets Supporting our AI roadmap across backend services You Should Know (at least some of): Python, Pandas, NumPy, Scikit-learn TensorFlow / PyTorch / OpenCV Time Series Forecasting models (ARIMA, LSTM) Basics of SQL or MongoDB Git and version control practices Bonus (Not Mandatory): Experience with retail or inventory datasets Worked on any personal ML projects or GitHub repos Familiarity with cloud (AWS, GCP) or Docker What You’ll Gain: Hands-on experience building real-world AI applications Certificate & Letter of Recommendation Potential for PPO (Pre-Placement Offer) based on performance Opportunity to work directly with the founding team and AI product manager

About The Company Axis My India is India’s foremost Consumer Data Intelligence Company, which in partnership with Google is building a single-stop People Empowerment Platform, the ‘a’ app, that aims to change people’s awareness, accessibility, and utilization of a slew of services. At Axis, we are dedicated to making a tangible impact on the lives of millions. If you're passionate about creating meaningful changes and aren't afraid to get your hands dirty, we want you on our team! For more insights of the company, kindly visit our website https://www.axismyindia.org Role Overview Axis My India is seeking a skilled Data Analyst & Data Visualizer with at least 2 years of experience to join our team supporting the Axis My India “a” APP and custom projects. In this role, you will be responsible for analyzing, and interpreting data as well as designing impactful visualizations and dashboards. Your work will help drive data-driven decision-making, enhance user engagement, and support the company’s mission to connect and resolve problems for 250 million Indian households through innovative digital solutions. Key Responsibilities Collect, clean, and process data from multiple sources including databases, APIs, and third-party platforms to ensure data accuracy and reliability for the APP data and similarly for other custom projects. Analyze data to identify trends, patterns, and actionable insights that inform product development, market research, and social impact initiatives. Design and develop interactive dashboards and visualizations using tools such as Power BI or similar platforms to communicate findings clearly. Present complex data insights using fusion charts, concise reports and visual formats to technical and non-technical stakeholders. Collaborate closely with cross-functional teams including product, Technology, Operations and research to define analytics and visualization requirements. Monitor and report on key performance indicators (KPIs) relevant to the app’s usage, impact, and outreach. Ensure data integrity and governance throughout the data lifecycle. Stay updated on the latest analytics and visualization tools, techniques, and best practices to continuously improve the data experience for Axis My India projects and APP users. Creating the presentations, documents, reports based on requirement Required Skills & Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Design, or a related field. Minimum 2 years of professional experience in data analysis and data visualization roles. Proficiency in Python and Power BI. Proficient with basic statistics. Experience with data visualization tools like Power BI, PowerPoint and excel. Strong analytical, problem-solving, and data storytelling skills. Knowledge of data blending, dashboard optimization, and UI/UX principles. Excellent communication and collaboration skills, with the ability to translate complex data into actionable insights. Ability to manage multiple projects and deliver results in a fast-paced environment. Preferred Experience Experience working with app-based data and multi-project analytics environments. Familiarity with analyzing and visualizing multiple survey data. Worked on basic statistics for data analysis Requirements Technical Skills Python: Data manipulation, analysis, and visualization with libraries like Pandas, NumPy, Matplotlib, and Seaborn. Power BI: Industry-standard tools for creating interactive dashboards and visual reports, enabling clear communication of insights to stakeholders. Matplotlib/Seaborn: Python libraries for custom visualizations and advanced charting. Excel: Useful for basic data analysis, quick visualizations, and reporting Proficiency in cleaning, preprocessing, and transforming raw data-handling missing values, outliers, duplicates, and standardizing formats to ensure data accuracy and reliability. Must be strong in using Statistical concepts for analysis and Visual design principles Analytical & Business Skills Critical Thinking & Problem Solving: Strong analytical mindset to interpret complex data, identify trends, and provide actionable insights. Data Transformation: Ability to transform complex data into compelling narratives that highlight key findings and support data-driven decision-making. Communication & Collaboration Effective Communication: Ability to present complex data insights clearly and succinctly to internal teams, stakeholders, including senior executives, through reports, dashboards and presentations. Working with Cross-functional teams: Experience collaborating with cross-functional teams, gathering requirements, and incorporating feedback to refine dashboards and reports. Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Evening snacks are provided by the company to keep you refreshed towards the end of the day Walking distance from Chakala metro station, making commuting easy and convenient. At Axis My India, we value discipline and focus. Our team members wear uniforms, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply.

We're Hiring: Junior Research Fellow (JRF) 📍 Location: Division of Crop Protection, ICAR-Indian Sugarcane Research Institute, Lucknow 🧪 Project: “Development of a smartphone-based digital support system for the efficient monitoring of multiple diseases of sugarcane in India” 🕒 Duration: 1 year (extendable up to 3 years based on performance) 💼 Vacancy: 1 Position 💰 Stipend: ₹37,000 + HRA per month as per norms 🔍 Role Summary We’re looking for a motivated and skilled Junior Research Fellow to join our multidisciplinary research project focused on applying AI, mobile technologies, and deep learning to support disease monitoring in sugarcane. This role is an opportunity to contribute to meaningful agricultural innovation, collaborate in an interdisciplinary environment, and grow technically while creating real-world impact. Success in this role means being proactive, technically proficient, and committed to research excellence. Key Responsibilities Curate, label, and preprocess datasets related to sugarcane disease imaging. Develop and optimize deep learning models for disease classification and prediction. Collaborate in the design and testing of an interactive mobile application for field use. Document findings, maintain code repositories, and contribute to scientific publications. Coordinate with the team for data collection, model validation, and stakeholder engagement. 🎓 Qualifications Education: M.Sc./M.E./M.Tech. in Computer Science, Information Technology, AI/ML, Mathematics, Electronics, Bioinformatics, Biotechnology, or related disciplines. Preferred: Candidates with GATE/NET qualification. Skills Required: Python programming Deep learning frameworks (e.g., TensorFlow, PyTorch) Dataset preprocessing and annotation Mobile app development (Android preferred) Research writing and documentation Eligibility Age Limit: 21 to 35 years (relaxation as per Government rules) Terms: The position is purely temporary and contractual, governed by ICAR norms. How to Apply Shortlisted candidates will be contacted for an interview. Interested applicants should send their updated CVs and relevant documents to: 📨 Dr. Chandramani Raj Principal Investigator, Division of Crop Protection 📱 +91 9573811582 📧 Chandramaniiisr2021@gmail.com

Role : AI / Generative AI Engineer Location : Remote ( Pan India ). Job Type : Fulltime. NOTE : "Only immediate joiners or candidates with a notice period of 15 days or less will be considered". Overview We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and/or modern data platforms (Databricks, Snowflake). You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities Design and Development : Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps And Productionization Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration And Innovation Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation And Communication Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.). Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms : GCP : Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services. AWS : Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services. Databricks : Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow. Snowflake : Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (ref:hirist.tech)

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Associate Lead Consultant - SAP Archiving Job Date: May 24, 2025 Job Requisition Id: 60330 Location: Hyderabad, TG, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire SAP Archiving Professionals in the following areas : Design and configuration of SAP Data archiving objects Working with customers to define data archiving strategy Conducting customer workshops around Data Archiving Responsible for several Archiving Objects in all modules such as FI, CO, SD, MM, QM, and PP. Must-Have Skills in SAP DVM, SAP ILM, Sap data archiving Working knowledge on DART extractions and views validations for financial data, Good knowledge of analyzing tables through TAANA, DB02, DB15. Must have knowledge of Archiving information systems (AS-IS) and transactions SARA, SARI, and able to configure physical file paths for archiving and storing the data files. able to schedule batch jobs and monitor. Working knowledge on Retention periods and residence times on each archiving object for preprocessing, archiving, and deletion steps, also, able to recommend retention periods. Good knowledge of Archiving links and ADK with the content server or any other data storage media configuration. Ability to provide complete documentation on the archiving process and user testing and business process documentation. Must have experience archiving SD documents, sales order, deliveries, billing, FI documents and Material documents such as POs, Deliveries, and Invoice documents. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

About Workafy: Join Workafy, a freelance marketplace connecting 500,000+ professionals with global opportunities. Work on projects that match your skills, anytime, anywhere. Job Description: Seeking experienced Machine Learning Engineers to help clients build predictive models, train algorithms, and deploy AI solutions. Responsibilities: Develop and optimize ML models using real-world datasets. Perform data preprocessing, training, and evaluation. Collaborate on AI-powered applications and tools. Requirements: Proficiency in Python, TensorFlow, or PyTorch. Strong understanding of ML algorithms and statistics. Experience with model deployment and cloud platforms. Why Join Us? Work on cutting-edge ML projects. Flexible freelance opportunities. Be part of a thriving professional network. Apply now at workafy.com and grow your freelance career as a Machine Learning Engineer!

About You Are you passionate about leveraging artificial intelligence (AI) and machine learning (ML) to help drive product excellence? Do you want to work closely with our experienced team members on tasks ranging from data preprocessing to model development and deployment? Are you ready to gain hands-on experience in AI/ML technologies while working on real-world problems? Prescient is seeking highly motivated AI/ML interns to join our dynamic and growing team in Gurgaon. Do you possess: Knowledge of general AI/ML through coursework, internships or personal projects? Attention to detail, a learning mindset, efficient time-management skills, professionalism and a strong work ethic? If so, consider turning your knowledge and passion for AI/ML into a valuable career at Prescient. About InflexionRx ® (proprietary product of Prescient Healthcare Group) At Prescient, we constantly strive to evolve and maximise the value of intelligence. InflexionRx is our proprietary software platform designed to enhance how our clients interact with the insight we develop, helping them make quicker, more informed and better aligned decisions. About the Opportunity You will be part of a fast-growing PE-backed business that allows high-performing employees to make an impact and contribute to growing the business. You will have the chance to channel your experience into supporting the development of our enterprise software system. Reporting : You will report to a senior member of the software development team within Prescient’s India office Roles and Responsibilities Data Collection and Preprocessing: Collect, clean and preprocess data from various sources for use in ML models Perform exploratory data analysis to gain insights into the dataset and identify patterns Model Development: Assist in the development and implementation of ML algorithms and models Conduct experiments to fine-tune model parameters and optimise performance metrics Collaborate with team members to integrate ML solutions into existing systems Evaluation and Testing: Design and execute tests to evaluate the performance and robustness of ML models Analyse experimental results and provide insights to improve model accuracy and efficiency Required Experience and Skills: As an ideal candidate, you will have: One or more of the following educational degrees: bachelor’s/master’s degree in computer/data science or related field Strong programming skills in Python or any other object-oriented programming language Good to have: Knowledge of transformers, large language models and NLP techniques Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch and scikit-learn Understanding of data structures, algorithms and statistical concepts Knowledge of data manipulation and analysis using tools such as pandas and NumPy Ability to analyse and solve problems with attention to detail Effective communication and teamwork abilities What We Offer Opportunity to learn from experienced professionals and gain valuable industry insights Platform for accelerated professional development and growth with significant levels of on-the-job experience Potential for future full-time employment opportunities based on performance About Prescient Healthcare Group Prescient® is a pharma services firm specialising in dynamic decision support and product and portfolio strategy. We partner with our clients to turn science into value by helping them understand the potential of their molecules, shaping their strategic plans and allowing their decision making to be the biggest differentiating factor in the success of their products. When companies partner with Prescient, the molecules in their hands have a greater potential for success than the same science in the hands of their competitors. Founded in 2007, Prescient is a global firm with a footprint in ten cities across three continents. Our team of nearly 500 experts partners with 27 of the top 30 biopharmaceutical companies, the fastest-growing mid-caps and cutting-edge emerging biotechs, including some of the biggest and most innovative brands. More than 70% of our employees hold advanced life sciences degrees, and our teams deliver an impressive depth of therapeutic, clinical and commercial expertise. Prescient has been a portfolio company of Bridgepoint Development Capital since 2021 and Baird Capital since 2017. For more information, please visit: www.prescienthg.com. We are an equal opportunity employer and fully comply with applicable legislation in all of the geographies in which we operate. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, colour, religion, sex, national origin, age, physical or mental disability, genetic information or any other category protected by applicable national, federal, state or local laws.