1990 Preprocessing Jobs - Page 43

Job Title - + + Management Level: Location: Kochi, Coimbatore, Trivandrum Must have skills: Big Data, Python or R Good to have skills: Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional And Technical Skills 3.5-5 years’ experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past About Our Company | Accenture Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

Who Are We Looking For We are looking for a passionate Full Stack Intern who is eager to work on both frontend and backend technologies. This internship offers a real-world opportunity to develop scalable, secure, and user-friendly web applications. What You Will Be Doing Interns may be involved in learning and contributing to the following areas: Full-Stack Web Development Frontend Development: HTML5, CSS3, JavaScript Angular Framework (Components, Services, Routing, etc.) Responsive Design, Bootstrap, and UI Libraries Backend Development: .NET Core (Web APIs, MVC) RESTful Services and Integration Database: SQL Server or equivalent Schema Design, Stored Procedures, and CRUD Operations Manual Quality Assurance (QA) Introduction to QA methodologies and the software testing lifecycle (STLC) Writing and executing test cases Bug reporting and tracking (using tools like Excel, Trello, Jira, or others) Functional, Regression, UI/UX Testing Cross-browser and cross-device testing Understanding SDLC and QA’s role in Agile environments User Experience (UX) Design (if aligned with intern interest) Fundamentals of UX Design Wireframing and Prototyping Tools (e.g., Figma) Usability Testing and User Feedback Integration Embedded Systems & IoT (Optional Track) Introduction to Arduino and Microcontroller Programming Sensor Integration, Circuit Design, and Testing Basics of Embedded C/C++ and IoT Protocols Real-world Mini Projects using Arduino or similar platforms Basic Artificial Intelligence with Python Python Programming Basics and Libraries (NumPy, Pandas, Matplotlib) Introduction to AI & Machine Learning Concepts Data Preprocessing and Visualization Building Basic Models with Scikit-learn Mini Projects such as: Spam Detection Sentiment Analysis Basic Image Classification Optional: Exploring Chatbots or AI-integrated web features Bonus Points for Familiarity with By the end of the internship, based on the interest and self learning efforts, the interns will be able to: Build and deploy a basic full-stack web application. Understand the software development lifecycle and version control systems (e.g., Git). Optionally demonstrate prototypes or hardware solutions in the embedded domain. Educational Requirement Good understanding of both frontend and backend web development. Experience with React.js (or similar frontend frameworks). Knowledge of Node.js, Express.js, and working with databases. Problem-solving mindset and willingness to learn. Good Communication Skills, Self learner willing to do tasks Salary This is an unpaid internship for 6 months. There will be no salary during the internship period . However, a full-time employment opportunity may be offered to high-performing interns based on their commitment, growth, and contributions after succesful completion of internship and can be discussed once shortlisted. Working Days Mondat - Friday Working Hours 8-9 Hours Onsite Perks & Benefits You'll Get Mentorship from experienced developers. Hands-on experience in real-time projects. Internship Certificate after successful completion. Job offer based on learning, contribution & performance.

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Mining Engineer to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “Big Data”, and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections. ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Preferred Qualifications: ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities. ● To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education! Job Type: Full-time Pay: ₹1,000,000.00 - ₹3,000,000.00 per year Benefits: Food provided Health insurance Leave encashment Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Application Question(s): Are you interested in a full-time time onsite Instructor role? Are you ready to relocate to Sonipat - NCR Delhi? Are you ready to relocate to Pune? Work Location: In person Expected Start Date: 15/07/2025

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow , PyTorch , scikit-learn , or Keras . Hands-on exposure to self-hosted or managed LLMs , supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy , NLTK , Hugging Face Transformers , and OpenCV , contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django , Flask , or Node.js , and API development (REST or GraphQL). Front-end development experience with React , Angular , or Vue.js , with a working understanding of responsive design and state management. Development and optimization of data storage solutions , using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached . Working knowledge of microservices and serverless patterns , participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark , and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse , using tools such as Airflow , dbt , BigQuery , or Snowflake . Understanding of CI/CD , containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines , including setting up IAM roles , configuring TLS/SSL , and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices , model versioning, and deployment pipelines using MLflow , FastAPI , or AWS SageMaker . Configuration and management of cloud services such as AWS EC2 , RDS , S3 , Load Balancers , and WAF , supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Preferred Skills: Key : Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,100,000.00 per year Schedule: Day shift Monday to Friday

S enior Fullstack AI/ML Engineer Location: Delhi Experience: 3-5 years Mode: On-site About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Internal Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. Internal NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Designation : AI/ML Intern Duration : 6-Month Full-Time Internship Location: Kudasan, Gandhinagar (On-site) Type: Internship (Full-time, 6 months) About Us: We’re a fast-growing startup on a mission to build innovative products that solve real-world problems. AI-Driven IT Solutions for a Smarter Future is more than a tagline — it’s how we operate. We believe in moving fast, learning constantly, and building with purpose. As part of our small and passionate team, you’ll work directly on meaningful projects that shape the future of tech. What You’ll Do: Work on machine learning and AI models for real-world use cases (NLP, classification, recommendations, etc.). Assist in data collection, preprocessing, model training, and evaluation. Collaborate on APIs and model deployment using tools like Flask or FastAPI. Experiment with frameworks such as scikit-learn, TensorFlow, or PyTorch. Conduct exploratory data analysis and participate in feature engineering. Stay up-to-date with the latest in AI/ML research and tools. What We’re Looking For: Good knowledge of Python and basic ML libraries (NumPy, pandas, scikit-learn). Understanding of core ML concepts like supervised/unsupervised learning, overfitting, etc. Enthusiasm for AI/ML problem-solving and learning on the job. Bonus: Experience with TensorFlow, PyTorch, NLP, or side projects. What You’ll Gain: Hands-on experience building AI solutions for production use. Mentorship from experienced engineers and startup founders. Real exposure to startup pace, decision-making, and ownership. Certificate, Letter of Recommendation, and potential PPO (Pre-Placement Offer). How to Apply: Send your resume, LinkedIn profile, and a short note on why you’d be a great fit to on Swan investment1910@gmail.com Job Type: Full-time Schedule: Day shift Work Location: In person

Excel/Google Sheets – Data cleaning, pivot tables, VLOOKUP, charts. SQL – Extracting and querying data from databases. Python or R – For data manipulation, analysis, and automation. Data Visualization Tools – Tableau, Power BI, Looker, or Google Data Studio. Statistics & Probability – Understanding of statistical methods and hypothesis testing. Data Cleaning & Wrangling – Preprocessing messy data for analysis. Machine Learning Basics – Predictive analytics, regression, classification (optional but valuable). Big Data Tools – Familiarity with Hadoop, Spark (for advanced roles). ETL Tools – Knowledge of data pipelines and integration tools. Cloud Platforms – AWS, GCP, Azure (for storage and analysis at scale). Soft Skills: Analytical Thinking – Ability to derive insights from complex data sets. Problem Solving – Using data to address business challenges. Attention to Detail – Ensuring accuracy in data work. Communication – Explaining insights clearly to non-technical stakeholders. Curiosity & Learning – Always exploring new tools and methods. FOR MORE INFORMATION CONTACT ON 8827277596 Job Types: फ़ुल-टाइम, स्थायी Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: पेमेंट वाली छुट्टियाँ बीमार होने पर ली गई छुट्टियों का पेमेंट Experience: Data Analytics: 1 year (Required) Power BI: 1 year (Required) SQL: 1 year (Required) Work Location: In person

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions

Institute of Statistical Science Postdoctoral Researcher and/or Research Assistant Job Description Unit Institute of Statistical Science JobTitle Postdoctoral Researcher and/or Research Assistant Work Content Assist the cooperative with statistical consulting and related services. Responsible for data analysis tasks, including data preprocessing, database construction, data analysis, and report writing. Participate in various activities organized by the Institute of Statistical Science and the cooperative. Assist with administrative affairs of the cooperative. Complete other tasks assigned as needed. Qualifications Research assistant requires a master's degree, and postdoctoral researcher requires a doctoral degree in Statistics or Data Science related fields. Knowledge in "Biostatistics," "Generalized Linear Models," "Multivariate Analysis," and "Categorical Data Analysis” is required Must be familiar with programming languages such as R, SAS, Python, with experience in database development/maintenance and application being a plus. Priority given to candidates with experience in statistics and scientific computing, as well as various types of data analysis. Preference given to candidates with expertise in biostatistics or bioinformatics. Working Environment Operating Hours 08:30~17:30 Work Place Institute of Statistical Science, Academia Sinica Treatment Based on the institute's salary standards and individual qualifications and experience (starting at NT$62,776 for Ph.D. holders, NT$43,624 for master's degree holders). Reference Site http://disc.stat.sinica.edu.tw/ Acceptance Method Contacts Dr. Shu-Chun Chen Contact Address No.128, Academia Road, Section 2, Nankang, Taipei, Taiwan Contact Telephone 2783-5611 ext. 476 Email scchen@stat.sinica.edu.tw Required Documents Resume in both Chinese and English (including autobiography), transcripts from university and above, and other beneficial documents for review. Precautions for application Application Method: Interested parties, please email the required documents to scchen@stat.sinica.edu.tw. Suitable candidates will be notified for an interview. Documents will not be returned. Date Publication Date 2024-08-08 Expiration Date 2025-12-31

Job Title: AI/ML Developer Location: Pune (On-site) Experience Required: 6 to 7 years Industry: IT/Software Services Hiring For: One of our reputed clients in Pune About the Role: We’re hiring a highly skilled AI/ML Developer with 6–7 years of hands-on experience in building and deploying robust Machine Learning solutions. This is an onsite role in Pune , ideal for professionals who are passionate about artificial intelligence, data-driven solutions, and real-world implementation of cutting-edge algorithms. Key Responsibilities: Design, develop, and deploy end-to-end AI and Machine Learning models. Work on data preprocessing, model selection, training, tuning, and validation. Implement predictive modeling, NLP, computer vision, or recommendation systems as per project needs. Collaborate with cross-functional teams for product integration and deployment. Monitor model performance and optimize regularly for accuracy and speed. Stay updated with the latest developments in AI/ML frameworks, tools, and techniques. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. 6–7 years of proven experience in Machine Learning and AI projects. Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, scikit-learn, OpenCV, or Keras . Solid experience in data preprocessing , model training , hyperparameter tuning , and deployment . Hands-on experience with NLP , deep learning , or computer vision projects is a strong plus. Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Experience with version control (Git) and containerization (Docker/Kubernetes) preferred. Excellent communication skills — ability to present complex ideas clearly to technical and non-technical stakeholders. What We’re Looking For: Technically strong and self-driven professional. Excellent communication and problem-solving skills. Comfortable with working full-time from the client’s Pune office . Immediate joiners will be preferred. Why Join? Exciting opportunity to work on innovative AI/ML solutions. High-impact role in a fast-growing tech environment. Competitive salary and collaborative culture. How to Apply: Interested candidates meeting the above criteria can apply directly through Indeed or send their updated resume to ankita.parbat@sanglob.in Job Types: Full-time, Permanent Pay: ₹150,000.00 - ₹170,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How soon you can join? What is your current CTC? What is your expected CTC? Experience: AI: 7 years (Preferred) ML: 7 years (Preferred) Work Location: In person

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 innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. 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 and services for AI deployment. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of natural language processing and its applications. 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.

Job Title - + + Management Level Location: Kochi, Coimbatore, Trivandrum Must have skills: Big Data, Python or R Good to have skills: Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional And Technical Skills 3.5-5 years’ experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past About Our Company | Accenture

JOB DESCRIPTION: About us: At Data Unveil, we believe in delivering the best for our clients (Pharma Companies). We use the latest technology and tools to aggregate and analyze specialty healthcare data received from various data partners. We provide clear and hassle-free business insights to enhance the client’s vision and drive business success. Position: Software Engineer-AI/Jr.AI Engineer/AI-Intern Experience: 0 - 1 Year Location: Hyderabad, Telangana. Hire Type: Full Time Start Date: Immediate We are looking for a motivated and curious AI enthusiast with 0–1 year of experience to join our team. The resource will support the development, testing, and integration of Generative AI and Agentic AI models. Key Responsibilities: Assist in building and fine-tuning Generative AI models (e.g., LLMs, image/video generation, text summarization). Contribute to the development and testing of Agentic AI systems that can perform autonomous tasks. Conduct research and stay updated on the latest AI advancements and tools. Support data collection, cleaning, preprocessing, and annotation processes. Collaborate with senior engineers to implement and integrate AI models into products. Help evaluate model performance using relevant metrics and suggest improvements. Write clear documentation for code, models, and processes. Required Skills: Basic understanding of machine learning, deep learning, and neural networks. Exposure to Generative AI concepts like transformers, GPT, VAEs, GANs, etc. Familiarity with Python, and libraries like NumPy, Pandas ,PyTorch, TensorFlow, Hugging Face Transformers. Strong knowledge in writing complex SQL queries. Strong analytical and problem-solving skills. Ability to learn quickly and work in a collaborative team environment. Preferred: Academic or personal projects using LLMs or generative models. Understanding of agent-based systems or tools like Lang Chain, AutoGPT, etc. Familiarity with prompt engineering and fine-tuning techniques. To know more about us, please visit our website Data Unveil - Main Page

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

Roles & Responsibilities Design, implement, and train deep learning models for: Text-to-Speech (e.g., SpeechT5, StyleTTS2, YourTTS, XTTS-v2 or similar models) Voice Cloning with speaker embeddings (x-vectors, d-vectors), few-shot adaptation, prosody and emotion transfer Engineer multilingual audio-text preprocessing pipelines: Text normalization, grapheme-to-phoneme (G2P) conversion, Unicode normalization (NFC/NFD) Silence trimming, VAD-based audio segmentation, audio enhancement for noisy corpora, speech prosody modification and waveform manipulation Build scalable data loaders using PyTorch for: Large-scale, multi-speaker datasets with variable-length sequences and chunked streaming Extract and process acoustic features: Log-mel spectrograms, pitch contours, MFCCs, energy, speaker embeddings Optimize training using: Mixed precision (FP16/BFloat16), gradient checkpointing, label smoothing, quantization-aware training Build serving infrastructure for inference using: TorchServe, ONNX Runtime, Triton Inference Server, FastAPI (for REST endpoints), including batch and real-time modes Optimize models for production: Quantization, model pruning, ONNX conversion, parallel decoding, GPU/CPU memory profiling Create automated and human evaluation logics: MOS, PESQ, STOI, BLEU, WER/CER, multi-speaker test sets, multilingual subjective listening tests Implement ethical deployment safeguards: Digital watermarking, impersonation detection, and voice verification for cloned speech Conduct literature reviews and reproduce state-of-the-art papers; adapt and improve on open benchmarks Mentor junior contributors, review code, and maintain shared research and model repositories Collaborate across teams (MLOps, backend, product, linguists) to translate research into deployable, user-facing solutions Required Skills Advanced proficiency in Python and PyTorch (TensorFlow a plus) Strong grasp of deep learning concepts: Sequence-to-sequence models, Transformers, autoregressive and non-autoregressive decoders, attention mechanisms, VAEs, GANs Experience with modern speech processing toolkits: ESPnet, NVIDIA NeMo, Coqui TTS, OpenSeq2Seq, or equivalent Design custom loss function for custom models based on: Mel loss, GAN loss, KL divergence, attention losses, etc.,, learning rate schedules, training stability Hands-on experience with multilingual and low-resource language modeling Understanding of transformer architecture, LLMs and working with existing AI models, tools and APIs Model serving & API integration: TorchServe, FastAPI, Docker, ONNX Runtime Preferred (Bonus) Skills CUDA kernel optimization, custom GPU operations, memory footprint profiling Experience deploying on AWS/GCP with GPU acceleration Experience developing RESTful APIs for real-time TTS/voice cloning endpoints Publications or open-source contributions in TTS, ASR, or speech processing Working knowledge of multilingual translation pipelines Knowledge of speaker diarization, voice anonymization, and speech synthesis for agglutinative/morphologically rich languages Milestones & Expectations (First 3–6 Months) Deliver at least one production-ready TTS or Voice Cloning model integrated with India Speaks’ Dubbing Studio or SaaS APIs Create a fully reproducible experiment pipeline for multilingual speech modeling, complete with model cards and performance benchmarks Contribute to custom evaluation tools for measuring quality across Indian languages Deploy optimized models to live staging environments using Triton, TorchServe, or ONNX Demonstrate impact through real-world integration in education, media, or defence deployments

Job Type: Full Time Experience: 1 Years to 2 Years Type: Virtual Hiring Last Date: 30-June-2025 Posted on: 18-June-2025 Education: BE/B.Tech,MCA,ME/M.Tech ADVERTISEMENT No. 02 Data Scientist/ AI Engineer / 2 Posts Age: 25 to 35 years Qualification Mandatory: Full Time B.E./B. Tech – First class (minimum of 60% marks) or equivalent or M.E./M. Tech/ MCA in Computer Science/ IT/ Data Science/ Machine Learning and AI. Professional / Preferred Qualification: Certification in Data Science/ AI/ ML/ Natural Language Processing/ Web Crawling and Neural Networks. Experience Essential: 1. Minimum 03 years of (post basic educational qualification) experience in related field, out of which: 2+ years experience with programming languages frequently used in data science (R/ Python). 2+ years Experience in model development, model validation or related field. 2+ years experience in data analytics. 2+ years experience in Relational Database or any NoSQL database including Graph databases Experience in cloud-based application/ service development. Experience in natural language processing, Web Crawling and Neural Networks. Experience in projects with Machine learning/ Artificial Intelligence technologies. Excellent communication skills and ability to work as part of a multicultural product development team. End-to-end experience from data extraction to modelling and its validation. Experience of working in a project environment as a developer. Preference will be given to candidates with experience in financial sector/ banks/ NBFCs/ Insurance/ Investment firms. Mandatory Skill Set: 1. Technical expertise regarding data models/ database design development, data mining and segmentation techniques. Expertise in Machine Learning technologies. Expertise in testing & validation of quality and accuracy of AI models. Expertise in developing models using structured, semi-structured and unstructured data. Expertise in Analytical Databases like Vertica DB or similar platforms. Data Modelling and Data Intelligence/ Data Cataloguing skills with tools like Alation. SQL (DDL/ DML/ DQL). Desirable Qualities 1. Good understanding of Data Model and types of dimension modelling. 2. Experience in Conversational AI and dialogue systems. 3. Strong understanding of explainable and Responsible/ Ethical AI framework. 4. Understand Data protection techniques like encryption, data masking and tokenization to safeguard sensitive data in transit and at rest. 5. Experience in designing secure solutions architecture for Cloud platforms (private/ public/ Hybrid). 6. Experience with tools like Nifi, HBase, Spark, pig, storm, flume, etc. 7. Experience in BI tools. 8. Expertise in MS Excel data analytics. 9. Expertise in usage and deployment of LLMs Key Responsibilities: 1. Be self-motivated, pro-active, and demonstrate an exceptional drive towards service delivery. 2. Identify valuable data sources and automate collection/ collation processes. 3. Undertake preprocessing of structured and unstructured data. 4. Analyze information to discover trends and patterns. Use AI/ ML techniques to improve the quality of data or product offerings. 6. Find patterns and trends in datasets to uncover insights. 7. Create algorithms and data models to forecast outcomes. 8. Combine models through ensemble modelling. Data Scientist-cum-BI Developer /1 Post Age 23 to 30 years Qualification Mandatory: Full Time B.E./B. Tech – First class (minimum of 60% marks) or equivalent or M.E./M. Tech/ MCA in Computer Science/ IT/ Data Science/ Machine Learning and AI. Professional/ preferred qualification: Certification/ Assignments/ Projects in Data Science/ AI/ ML/ Natural Language Processing/ Web Crawling and Neural Networks. Experience Essential: 1. Minimum 01 year of (post basic educational qualification) working experience on assignments/ projects/ jobs related to ML/ AI. 2. Experience in projects with Machine learning/ Artificial Intelligence technologies. 3. Excellent communication skills and ability to work as part of a multicultural product development team. 4. End-to-end experience from data extraction to modelling and its validation. 5. Experience of working in a project environment as a developer. 6. Preference will be given to candidates with experience in financial sector/ banks/ NBFCs/ Insurance/ Investment firms. Mandatory Skill Set: 1. Technical expertise regarding data models/ database design development, data mining and segmentation techniques. Expertise in Machine Learning technologies. Expertise in testing & validation of quality and accuracy of AI models. Expertise in developing models using structured, semi-structured and unstructured data. Expertise in Analytical Databases like Vertica DB or similar platforms. Data Modelling and Data Intelligence/ Data Cataloguing skills with tools like Alation. SQL (DDL / DML/ DQL). Desired Skill Set: 1. Good understanding of Data Model and types of dimension modelling. 2. Experience in Conversational AI and dialogue systems. 3. Strong understanding of explainable and Responsible/ Ethical AI framework. 4. Understand Data protection techniques like encryption, data masking and tokenization to safeguard sensitive data in transit and at rest. 5. Experience in designing secure solutions architecture for Cloud platforms (private/ public/ Hybrid). 6. Experience with tools like Nifi, HBase, Spark, pig, storm, flume, etc. 7. Experience in BI tools. 8. Expertise in MS Excel data analytics. 9. Expertise in usage and deployment of LLMs Key Responsibilities 1. Be self-motivated, pro-active, and demonstrate an exceptional drive towards service delivery. 2. Identify valuable data sources and automate collection/ collation processes. 3. Undertake preprocessing of structured and unstructured data. Analyze information to discover trends and patterns. 5. Use AI/ ML techniques to improve the quality of data or product offerings. 6. Find patterns and trends in datasets to uncover insights. 7. Create algorithms and data models to forecast outcomes. 8. Combine models through ensemble modelling. Candidates can apply only ON-LINE on 16th June 2025 to 30 June 2025. Note: This is an aggregated job, sharing with a motive to intimate relevant opportunities with job seekers. Hireclap is not responsible / authorized for this recruitment process. Click Here For Job Details & Apply Online

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

Role - Data Scientist Experience - 13+ years Work Location - Remote Notice Period - I mmediate Joiners Mandatory Skills - Any LLM, Fine Tuning, ML Ops, Cloud Key Responsibilities: Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training. Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models, focusing on pre-training as well instructiontuning pre-trained LLMs for mortgage-specific applications.Utilize techniques like RLHF to improve model alignment with human preferences and enhance decision-making capabilities. Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency. Experiment with different architectures and open-source models to identify the best fit for project requirements. Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable. Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements. Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility. Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, and implementing strategies to mitigate them. Required Skills: Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch. NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models. Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis. Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches. Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders. Preferred Qualifications: Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field. Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions. Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation. Applicants can connect with Abhishek for more details Email - abhishek.m@livecjobs.com WhatsApp - 9154908075

At AryaXAI , we’re building the future of explainable, scalable, and aligned AI —designed specifically for high-stakes environments where trust, transparency, and performance are non-negotiable. From financial services to energy and other regulated industries, our platform powers intelligent decision-making through safe and robust AI systems. We’re looking for a Data Scientist with a deep understanding of both classical and deep learning techniques, experience building enterprise-scale ML pipelines, and the ambition to tackle real-world, high-impact problems. You will work at the intersection of modeling, infrastructure, and regulatory alignment—fine-tuning models that must be auditable, performant, and production-ready. Responsibilities: Modeling & AI Development Design, build, and fine-tune machine learning models (both classical and deep learning) for complex mission-critical use cases in domains like banking, finance, energy, etc. Work on supervised, unsupervised, and semi-supervised learning problems using structured, unstructured, and time-series data. Fine-tune foundation models for specialized use cases requiring high interpretability and performance. Platform Integration Develop and deploy models on AryaXAI’s platform to serve real-time or batch inference needs. Leverage explainability tools (e.g., DLBacktrace, SHAP, LIME, or AryaXAI’s native xai_evals stack) to ensure transparency and regulatory compliance. Design pipelines for data ingestion, transformation, model training, evaluation, and deployment using MLOps best practices. Enterprise AI Architecture Collaborate with product and engineering teams to implement scalable and compliant ML pipelines across cloud and hybrid environments. Contribute to designing secure, modular AI workflows that meet enterprise needs—latency, throughput, auditability, and policy constraints. Ensure models meet strict regulatory and ethical requirements (e.g., bias mitigation, traceability, explainability). Requirements : 3+ years of experience building ML systems in production, ideally in regulated or enterprise environments. Strong proficiency in Python , with experience in libraries like scikit-learn, XGBoost, PyTorch, TensorFlow , or similar. Experience with end-to-end model lifecycle : from data preprocessing and feature engineering to deployment and monitoring. Deep understanding of enterprise ML architecture —model versioning, reproducibility, CI/CD for ML, and governance. Experience working with regulatory, audit, or safety constraints in data science or ML systems. Familiarity with ML Ops tools (MLflow, SageMaker, Vertex AI, etc.) and cloud platforms (AWS, Azure, GCP). Strong communication skills and an ability to translate technical outcomes into business impact. Bonus Points For Prior experience in regulated industries : banking, insurance, energy, or critical infrastructure. Experience with time-series modeling , anomaly detection, underwriting, fraud detection or risk scoring systems. Knowledge of RAG architectures , generative AI , or foundation model fine-tuning . Exposure to privacy-preserving ML , model monitoring , and bias mitigation frameworks. What You’ll Get Competitive compensation with performance-based upside Comprehensive health coverage for you and your family Opportunity to work on mission-critical AI systems where your models drive real-world decisions Ownership of core components in a platform used by top-tier enterprises Career growth in a fast-paced, high-impact startup environment Remote-first, collaborative, and high-performance team culture If you’re excited to build data science solutions that truly matter , especially in the most demanding industries, we want to hear from you.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position A healthier future. That’s what drives us. We are looking for a highly skilled Artificial Intelligence (AI) / Machine Learning (ML) Engineer with expertise in building AI-powered applications. We will be building AI & GenAI solutions end-to-end: from concept, through prototyping, production, to operations. The Opportunity: Generative AI Application Development: Collaborate with developers and stakeholders in Agile teams to integrate LLMs and classical AI techniques into end-user applications, focusing on user experience, and real-time performance Algorithm Development: Design, develop, customize, optimize, and fine-tune LLM-based and other AI-infused algorithms tailored to specific use cases such as text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc LLM Fine-Tuning and Customization: Fine-tune pre-trained LLMs to specific business needs, leveraging prompt engineering, transfer learning, and few-shot techniques to enhance model performance in real-world scenarios End-to-End Pipeline Development: Build and maintain production-ready end-to-end ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring; automate workflows using MLOps best practices to ensure scalability and efficiency Performance Optimization: Optimize model inference speed, reduce latency, and manage resource usage across cloud services and GPU/TPU architectures Scalable Model Deployment: Collaborate with other developers to deploy models at scale, using cloud-based infrastructure (AWS, Azure) and ensuring high availability and fault tolerance Monitoring and Maintenance: Implement continuous monitoring and refining strategies for deployed models, using feedback loops and e.g. incremental fine-tuning to ensure ongoing accuracy and reliability; address drifts and biases as they arise Software Development: Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering and setting up APIs; ensure robust logging, experiment tracking, and model monitoring Who are: Minimum overall 5-7 years of experience and hold B.Sc., B.Eng., M.Sc., M.Eng., Ph.D. or D.Eng. in Computer Science or equivalent degree Experience: 3+ years of experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformer architectures; hands-on experience with LangChain or similar LLM frameworks; experience with designing end-to-end RAG systems using state of the art orchestration frameworks (hands on experience with fine-tuning LLMs for specific tasks and use cases considered as an additional advantage) MLOps Knowledge: Strong understanding of MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment Deployment: Experience in deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productizations Practical overview and experience with AWS services to design cloud solutions, familiarity with Azure is a plus; experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc. Data Engineering: Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs Model Evaluation and Metrics: Proficiency in evaluating both classical ML models and LLMs using relevant metrics Relocation benefits are not available for this posting. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

S enior Fullstack AI/ML Engineer Location: Delhi Experience: 3-5 years Mode: On-site About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Internal Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. Internal NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech)

Title : Lead Data Scientist/ML Engineer (5+ years & above) Required Technical Skillset : (GenAI) Language : Python Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech)

Key Responsibilities Research, design, develop, and implement scalable AI/ML models and solutions from concept to deployment. Focus on cutting-edge areas such as Natural Language Processing (NLP), Deep Learning, and Generative AI, contributing to innovative projects. Transform complex data into actionable insights and intelligent features for our core products. Optimize AI/ML models for performance, scalability, and efficiency in production environments. Work on the deployment of AI/ML models into production, ensuring seamless integration with existing systems. Implement and adhere to MLOps principles for model versioning, monitoring, and lifecycle management. Perform comprehensive data collection, cleaning, preprocessing, and feature engineering to prepare data for model training. Ensure data quality and integrity throughout the AI pipeline. Stay current with the latest advancements in AI/ML, NLP, Deep Learning, and Generative AI research. Evaluate and experiment with new technologies and methodologies to enhance our AI capabilities. Collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to understand business requirements and deliver integrated solutions. Contribute to a culture of continuous learning and knowledge sharing within the team. Mentor junior team members, providing technical guidance and fostering best QUALIFICATIONS : Education : Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related quantitative field. Experience : 2-4 years of hands-on industry experience in AI/ML development, Data Science, or a related field. Programming Skills : Strong proficiency in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). AI/ML Fundamentals : Solid understanding of core AI/ML concepts, algorithms, and methodologies. Specialized Interest : Demonstrated passion and foundational knowledge in at least one of the following areas : Natural Language Processing (NLP), Deep Learning, or Generative AI. Problem-Solving : Excellent analytical, problem-solving, and critical thinking skills, with the ability to tackle complex, ambiguous problems. Communication : Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams. (ref:hirist.tech)