1965 Preprocessing Jobs - Page 19

Job Opening: Data Science & Analytics – Fresher (Hybrid Role) Location: Patna, Bihar Company: i2i Industry About i2i Industry i2i Industry is India’s leading career acceleration platform, helping fresh graduates and working professionals transition into high-impact tech roles. Backed by experts from Google, Meta, Microsoft, and Amazon, we bring real-world training, mentorship, and job readiness under one roof. Role Overview We are seeking a highly motivated Data Science & Analytics Fresher to join our in-house data team. This hybrid role is designed for individuals who are equally excited by building dashboards and building models — someone who can transform raw data into actionable business insights and predictive outcomes. Key Responsibilities Analyze structured and unstructured datasets to generate business insights Create interactive dashboards and BI reports for leadership and teams Perform feature engineering, data preprocessing, and exploratory data analysis (EDA) Build and evaluate basic ML models for classification, regression, or clustering problems Communicate results through storytelling, visualization, and actionable strategies Automate workflows and reporting processes using Python, SQL, and APIs Skills & Requirements Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field Strong knowledge of Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn) Solid understanding of SQL and working with relational databases Familiarity with Power BI , Tableau , or Google Data Studio Understanding of basic ML algorithms (Linear Regression, KNN, Decision Trees, etc.) Good communication and problem-solving abilities Bonus: Exposure to Git, Jupyter Notebooks, REST APIs, or cloud platforms (GCP/AWS) What You'll Gain Mentorship from data scientists at Google, Meta, and Amazon End-to-end exposure to real data pipelines and model deployment Project ownership on live business problems Access to our proprietary learning tracks in ML, SQL, and BI tools Competitive salary/stipend and fast-track promotion opportunities Application Process Apply using this form: https://forms.gle/CJz2m9hzTw8JhruBA Or email your resume to: info@i2iindustry.com

Job Title: Data Scientist Location: Bengaluru, Gurugram Experience: 5+ Years About the Role: We are looking for an experienced Data Scientist to develop and deploy AI/ML and GenAI solutions across large datasets using modern frameworks and cloud infrastructure. You’ll work closely with cross-functional teams to translate business requirements into impactful data products. Key Responsibilities: Collaborate with software engineers, stakeholders, and domain experts to define data-driven solutions. Develop, implement, and deploy AI/ML, NLP/NLU, and deep learning models. Work on preprocessing, analyzing large datasets, and deriving actionable insights. Evaluate and optimize models for performance, efficiency, and scalability. Deploy solutions to cloud platforms such as Azure (preferred), AWS, or GCP. Monitor production models and iterate for continuous improvement. Document processes, results, and best practices. Must-Have Skills: Bachelor's/Master’s in Computer Science, Data Science, Engineering, or related field. Strong programming in Python and SQL . Experience with Scikit-learn, TensorFlow, PyTorch , etc. Knowledge of ETL tools like Azure Data Factory , Databricks , Data Lake . Solid foundation in mathematics, probability, and statistics . Exposure to GenAI , Vector Databases , and LLMs . Experience working with cloud infrastructure ( Azure preferred ). Good-to-Have Skills: Experience with Flask , Django , or Streamlit . Knowledge of MLOps tools : MLFlow, Kubeflow, CI/CD. Familiarity with Docker , Kubernetes for model/container deployment. #teceze

Job Summary We are looking for a dynamic and knowledgeable AI & Machine Learning in Healthcare Trainer to deliver a 3-month career-oriented training program. The ideal candidate will possess strong expertise in machine learning, clinical data analytics, and visualization tools like SQL, Power BI, and Tableau, with hands-on experience in real-world healthcare environments. Key Responsibilities • Deliver structured training on AI/ML concepts applied to healthcare, including real datasets and use cases • Teach practical hands-on labs using Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) • Introduce learners to healthcare data analysis using SQL, Power BI, and Tableau • Cover applications such as predictive analytics, medical imaging AI, EHR NLP, and disease modeling • Guide learners through data extraction, cleaning, and visual storytelling from healthcare datasets • Discuss ethical and legal challenges in AI, including bias mitigation, HIPAA, and GDPR • Evaluate student progress, provide feedback, and support capstone projects • Update training materials based on healthcare tech advancements and student needs Required Skills & Knowledge Category Skills & Tools AI/ML Fundamentals Regression, classification, clustering, model evaluation Programming Python, NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Data Handling Healthcare datasets (MIMIC, HL7/FHIR, claims data), data wrangling, cleaning NLP in Healthcare Text preprocessing, spaCy, BioBERT, cTAKES SQL & Databases Writing queries, joins, data aggregation, healthcare-specific schemas Power BI & Tableau Data modeling, interactive dashboards, storytelling with healthcare KPIs Teaching & Communication Ability to simplify technical content, present with clarity, use visual examples Preferred Qualifications • Master’s in Data Science, Computer Science, Bioinformatics, or related field • Prior teaching, mentoring, or curriculum development experience • Certifications in Tableau, Power BI, TensorFlow, or Google AI (preferred) What We Offer Competitve salary based on experience

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

Company: Coderz Vision Technology Experience: 2–4 years Location: Chennai 📄 About Us Coderz Vision Technology is a leading IT solutions company specializing in software development, emerging technologies, and AI-driven innovation. Our team is passionate about leveraging the latest advancements in machine learning, deep learning, and AI to create cutting-edge solutions for global clients across industries. 🎯 Role Overview We are looking for a talented AI Engineer with 2–3 years of hands-on experience to join our dynamic team. In this role, you’ll design and implement AI models, build intelligent algorithms, and contribute to research and production-grade AI/ML solutions. 🔑 Key Responsibilities Develop, train, and fine-tune machine learning and deep learning models for computer vision, NLP, predictive analytics, and other AI domains. Implement AI algorithms in Python and deploy them into scalable environments. Work closely with data engineering and software teams to integrate AI models into existing products. Preprocess, clean, and analyze structured and unstructured data for model training. Evaluate model performance and optimize for accuracy, scalability, and performance. Conduct literature reviews to stay updated on AI research trends and innovations. Document processes, present findings, and collaborate with cross-functional teams. ✅ Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 2–3 years of hands-on experience in AI/ML engineering roles. Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with neural networks, NLP, computer vision, and generative AI is a plus. Exposure to cloud platforms (AWS/Azure/GCP) for AI model deployment is a bonus. Excellent problem-solving skills and passion for innovation. 🎯 Why Join Us? Opportunity to work on cutting-edge AI projects with global impact. Collaborative, growth-driven work culture with exposure to diverse technologies. Competitive compensation and performance-based incentives. Continuous learning, training, and career development support. 📧 How to Apply: If you’re interested in joining a forward-thinking team and making a real-world impact with AI, please send your resume and portfolio to hr@coderzvision.com.

We are looking for a skilled and driven Machine Learning Engineer with 3+ years of experience to join our core AI development team. The role involves building and optimising machine learning models, developing data pipelines, and contributing to AI-powered features used in financial crime detection, document intelligence, and compliance analytics. This is a high-impact role for someone passionate about applying machine learning in real-world applications and eager to grow in a fast-paced environment. Responsibilities Build, test, and deploy machine learning models for various data-driven use cases Develop scalable data preprocessing and feature engineering pipelines Collaborate with product and engineering teams to integrate AI functionalities into production systems Analyze model performance, run experiments, and fine-tune algorithms for accuracy and speed Contribute to maintaining version-controlled ML workflows and reusable modules Assist in preparing training datasets from structured and unstructured sources Support model monitoring, feedback loop integration, and continuous improvements Technical Skills Required Strong foundation in Python and applied machine learning Experience with one or more ML frameworks such as scikit-learn, TensorFlow, or PyTorch Understanding of supervised, unsupervised, and basic NLP techniques Familiarity with building data pipelines and working with large datasets (Pandas, NumPy, SQL) Exposure to model deployment concepts, APIs, and inference Basic knowledge of Git, Docker, and cloud environments (AWS/GCP/Azure) Preferred (Nice to Have) Experience with document data (PDFs, scanned files) or OCR tools Exposure to transformer-based models or LLMs Familiarity with ML lifecycle tools (MLflow, DVC, Weights & Biases) Prior experience in fintech, risk analysis, or fraud detection systems Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field 3+ years of hands-on experience in ML/AI development roles Compensation & Growth Competitive compensation aligned with industry benchmarks ESOPs and performance bonuses for high performers Exposure to real-world AI use cases with domain experts in fintech, compliance, and GenAI Opportunity to grow into senior research or MLOps roles based on performance and interest

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data, ultimately contributing to advancements in natural language processing technology. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of neural network architectures and their applications. - Experience with natural language processing techniques and tools. - Familiarity with data preprocessing and augmentation methods. - Ability to analyze and interpret model performance metrics. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

Job Summary: We are seeking a motivated and detail-oriented AI Agent Developer Intern to join our technology team. This is an exciting opportunity to gain hands-on experience in the rapidly evolving field of artificial intelligence. The successful candidate will work closely with our senior developers to design, build, and refine AI agents that automate complex tasks and create intelligent solutions for our business needs. This role is ideal for a student or recent graduate who is passionate about AI and eager to apply their academic knowledge to real-world challenges. Key Responsibilities: Assist in the design, development, and deployment of AI-powered agents using Large Language Models (LLMs) and other machine learning frameworks. Develop, test, and refine prompts to ensure our AI agents produce accurate, relevant, and reliable outputs. Integrate AI agents with various internal systems, databases, and third-party APIs to enable seamless workflows. Participate in the entire model lifecycle, including data collection, preprocessing, training, and performance evaluation. Collaborate with the engineering and product teams to understand project requirements and translate them into technical specifications. Troubleshoot and debug issues with AI agents to ensure high performance and stability. Stay up-to-date with the latest advancements in generative AI, LLMs, and agent-based systems. Required Qualifications: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. Key Responsibilities: Assist in the design, development, and deployment of AI-powered agents using Large Language Models (LLMs) and other machine learning frameworks. Develop, test, and refine prompts to ensure our AI agents produce accurate, relevant, and reliable outputs. Integrate AI agents with various internal systems, databases, and third-party APIs to enable seamless workflows. Participate in the entire model lifecycle, including data collection, preprocessing, training, and performance evaluation. Collaborate with the engineering and product teams to understand project requirements and translate them into technical specifications. Troubleshoot and debug issues with AI agents to ensure high performance and stability. Stay up-to-date with the latest advancements in generative AI, LLMs, and agent-based systems. Required Qualifications: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. Key Responsibilities: Assist in the design, development, and deployment of AI-powered agents using Large Language Models (LLMs) and other machine learning frameworks. Develop, test, and refine prompts to ensure our AI agents produce accurate, relevant, and reliable outputs. Integrate AI agents with various internal systems, databases, and third-party APIs to enable seamless workflows. Participate in the entire model lifecycle, including data collection, preprocessing, training, and performance evaluation. Collaborate with the engineering and product teams to understand project requirements and translate them into technical specifications. Troubleshoot and debug issues with AI agents to ensure high performance and stability. Stay up-to-date with the latest advancements in generative AI, LLMs, and agent-based systems. Required Qualifications: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. Solid programming fundamentals with proficiency in Python. A strong, foundational understanding of AI and Machine Learning concepts. Familiarity with the concept of APIs and how to interact with them. Excellent problem-solving skills and the ability to work independently as well as in a team. Strong verbal and written communication skills. Preferred Skills and Experience: Hands-on experience with Large Language Models (e.g., GPT series, Llama, Claude) through projects or coursework. Experience with common AI/ML libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn. A portfolio of personal or academic projects that demonstrates an interest and capability in AI development. Basic understanding of Natural Language Processing (NLP) techniques. Familiarity with cloud computing platforms (e.g., Google Cloud, AWS, Azure) is a plus.

Company Description InnovationsHub Services Pvt Ltd, the winner of the Smart India Hackathon 2022 (project-sponsored) organized by the Ministry of Education, focuses on creating technology solutions for retailers and commercial businesses to improve customer profitability. The company specializes in developing Proof of Concepts (POCs) to test new technologies and solutions. InnovationsHub has industry expertise in Healthcare, API Banking, Retail, and Research and Development, and leverages technologies such as Cloud Platforms, Data Modelling, Web Services, Mobile Apps, and Digital Marketing. Role Description This is an on-site internship role for an AIML Engineer Intern located in Nashik. The AIML Engineer Intern will be responsible for assisting in the development and implementation of AI and machine learning models. Day-to-day tasks include data collection and preprocessing, training and evaluating models, and integrating models into existing systems. The intern will also collaborate with cross-functional teams to understand business needs and deliver AI-driven solutions. Qualifications Knowledge of AI and Machine Learning concepts, and proficiency in programming languages such as Python or Java Experience with data collection, preprocessing, and data modelling techniques Familiarity with cloud platforms, especially those that support machine learning projects Understanding of NoSQL and relational databases Skills in developing web services, portals, and mobile apps Strong analytical and problem-solving skills Excellent communication and teamwork abilities Currently pursuing or recently completed a Bachelor's degree in Computer Science or related field

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.

Position Overview We are seeking a motivated and talented AI Engineer at a fresher level to join our dynamic team. This role offers an excellent opportunity for recent graduates or early-career professionals to work with cutting-edge artificial intelligence technologies, focusing on language models, machine learning, and advanced AI techniques. Key Responsibilities · Design, develop, and implement AI solutions using state-of-the-art language models and machine learning techniques · Fine-tune pre-trained language models for specific use cases and domains · Implement and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI performance · Work with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication frameworks · Develop and deploy machine learning models in local environments · Collaborate with cross-functional teams to integrate AI solutions into existing systems · Conduct experiments and analyze results to improve model performance · Stay updated with the latest developments in AI research and implement best practices · Document technical processes and maintain code quality standards Required Qualifications  Technical Skills · Programming Languages: Proficiency in Python (mandatory) · Machine Learning Frameworks: Hands-on experience with PyTorch, TensorFlow, ONNX, TensorRT, and related ML libraries · Language Models: Strong understanding of transformer architectures, fine-tuning techniques, and language model optimization · AI Techniques: Knowledge of RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and A2A (Agent-to-Agent) frameworks · Statistics: Solid foundation in statistical concepts and their application in machine learning · Local Model Deployment: Ability to set up and run ML models in local environments Core Competencies · Understanding of deep learning fundamentals and neural network architectures · Experience with model training, validation, and evaluation processes · Familiarity with data preprocessing and feature engineering techniques · Knowledge of version control systems (Git) and collaborative development practices · Problem-solving mindset with attention to detail Additional Technical Skills · Programming Languages: Experience with additional languages such as Java, C++, JavaScript, or Go · Specialized Tools: Experience with MATLAB and R for statistical computing and data analysis · NLP Expertise: Background in Natural Language Processing, including text preprocessing, sentiment analysis, named entity recognition, or language understanding tasks · Computer Vision: Knowledge of computer vision techniques, image processing, or vision-language models · Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure ML services · MLOps: Understanding of ML pipeline development and deployment practices

The role is part of the finance Centre of Excellence primarily as acting as a data analyst and will support planning & analysis in any one or more areas of finance including reporting & compliance, taxation, and treasury related areas. FPA COE is function under ambit of Planning and Analytics within FP&A- This role is primarily responsible for base data management, transformation of data to preliminary analytics, dashboarding and automation on all financial and non-financial parameters, which aid to management for business decision making Candidate will be responsible for overseeing data systems and overall reporting frameworks in FPA, and ensure the integrity and precision of data to generate insights and drive strategic business decisions. Responsibilities For the Planning and Analytics vertical, eligible candidate should be able to end to end data management including below, -Data collection: Gathering data from primary or secondary sources, such as sales numbers, market research, or logistics. -Data preparation: Cleaning and preprocessing data for accuracy -Data analysis: Using statistical techniques to analyze data, identify patterns and trends, and perform complex analyses -Data presentation: Creating visualizations and reports for stakeholders, using charts and graphs to present results -Data management: Maintaining databases and utilizing SQL for data handling. Staying updated on industry trends and new technologies -Business challenges: Addressing specific business challenges with analytical solutions -Collaboration: Collaborating with cross-functional teams and providing technical support and mentoring to other analysts -Quality assurance: Participating in quality assurance activities and supervising performance and quality assurance processes to pinpoint areas for enhancement In addition, candidate should have good communication and collaboration skills for cross-functional teams and providing technical support to other analysts Immediate Attention - GR and others dashboards control and data security with data hosting solution etc. GR dashboard analytics like with business ops. Documentation of process. Simplification(using SQL, python etc.) and regularization of ad hoc tasks. Hygiene parameters on accuracy check and other aspects. Customer master ownership. (align asks from Sachin, Business ops (Amol J or Anup), SIP team) Regular - Long Term Revenue MIS -Automation and Data Models for Dashboard NR review -Exception tracker - Data models and exception report dashboards Regional P&L Customer KPI ETR Model and automation MIS repository Data models for Forecasting and outlook. Minimum qualification & experience BTECH,MTECH, BCA, MCA or equivalent. Degree or Certification in relation to data management (like Data Science, Business Analysis, Python, Web Technologies etc.) 2 to 3 years experience in Finance MIS and analytics in telecom industry or equivalent related field. Desired Skill sets Power BI \ Qlik sense Skills \ Python SAP exposure required. Exceptional knowledge of Advanced Excel. Familiarity with finance and statistical analysis software Understanding of financial and accounting principles Understanding across finance domains (taxation, treasury etc.)

We are seeking a highly skilled Machine Learning Architect to design and implement cutting-edge Al/ML solutions that drive business innovation. This role requires expertise in Google Cloud, Gurobi, and Google OR, ensuring scalable and optimized machine learning models for complex decision￾making processes. Key Responsibilities •⁠ ⁠Design and develop machine learning architecturesthat align with business objectives. •⁠ ⁠Implement optimization models using Gurobi and Google OR to solve complex operational problems. •⁠ ⁠Leverage Google Cloud Al/ML services (Vertex Al, TensorFlow, AutoML) for scalable model deployment. •⁠ ⁠Collaborate with data scientists, engineers, and business stakeholders to integrate ML solutions into production. •⁠ ⁠Ensure high-performance computing and efficient resource utilization in cloud environments. •⁠ ⁠Develop automated pipelines for data preprocessing, model training, and deployment. •⁠ ⁠Monitor and enhance ML model performance, ensuring accuracy and efficiency. •⁠ ⁠Stay updated with emerging Al/ML trends and best practices. Required Qualifications •⁠ ⁠Bachelor's/Master's degree in Computer Science, Al, Data Science, or related field. •⁠ ⁠5+ years of experience in machine learning architecture and deployment. •⁠ ⁠Strong expertise in Google Cloud Al/ML services. •⁠ ⁠Hands-on experience with Gurobi and Google OR for optimization problems. •⁠ ⁠Proficiency in Python, TensorFIow, PyTorch, and cloud-based ML frameworks. •⁠ ⁠Experience in big data processing (Apache Spark, BigQuery). •⁠ ⁠Strong problem-solving skills and ability to work in cross-functional teams Preferred Qualifications •⁠ ⁠PhD in Al/ML or related field. •⁠ ⁠Experience in reinforcement learning and optimization algorithms. •⁠ ⁠Knowledge of MLOps and CI/CD pipelines for ML model deployment. •⁠ ⁠Familiarity with Google Cloud security best practices

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

Role description Senior Engineer/ Technical lead Job Description: •Ansa Preprocessing / Meta post processing skill Mandatory •Lsdyna Postprocessing , Debugging and Technical skills •Independently work with client requirements ,Review results ,Prepare reports & suggest with modifications /Suggestions wherever required ,Good understanding mindset to corelate physical tests with CAE working model. •Have seating load case experience Fmvss207/210 ,Fmvss225 /Luggage retention/ Seat arm moment strength , Seat building technique •Full vehicle load case setup, Runnable deck preparations, debug and prepare Report - Full frontal ,ODB barrier ,Side pole, MDB pole ,Roof crush FMVSS /IIHS , Slow speed impact , Part581 load cases ,Occupant load cases ,Dummy injuries . •Seat on body strength Analysis Load case - Bolt failure, Body strength, Weld failure predictions. •Ansa Preprocessing / Meta post processing skill. Mandatory •Lsdyna Postprocessing , Debugging and Technical skills

Ascendeum is looking for mathematicians, with extensive hands-on experience in the field of data science, who can analyze large data sets efficiently to generate actionable business intelligence that drives peak performance for our clients. About Us: We provide AdTech strategy consulting to leading internet websites and apps hosting over 200 million monthly audiences worldwide. Since 2015, our consultants and engineers have consistently delivered intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns. Job Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns Helping develop reports and analysis. Present information using data visualisation techniques. Assessing tests, implementing new or upgraded software, and assisting with strategic decisions on new systems. Evaluating changes and updates to source production systems. Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks. Providing technical expertise in data storage structures, data mining, and data cleansing. Propose solutions and strategies to business challenges Desired Skills and Experience: Relevant 2+ years of experience in Data Analysis Complete understanding of Operations Research, Data Modelling, ML, and AI concepts. Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills. Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred Thank you for your interest in joining Ascendeum.

Lead AI/ML Engineer Experience:5 - 10 Years Exp Salary : 15 to 25 LPA Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI OR NLP AND Python OR Java OR R AND Deep Learning OR TensorFlow OR Keras OR PyTorch Inferenz(One of Uplers' Clients) is Looking for: Lead AI/ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. About The Role: Job Overview: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelor’s or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

As a Data Scientist, you will be responsible for undertaking data collection, preprocessing, and analysis to address various business problems. You will build models and utilize data visualization techniques to present information effectively. It will be your duty to identify valuable data sources and automate the collection processes. Additionally, you will be required to preprocess both structured and unstructured data, analyze large amounts of information to discover trends and patterns, and build predictive models and machine-learning algorithms. This is a full-time, permanent position with a fixed shift schedule. The work location for this role is in person.,

We are building a machine learning-based anomaly detection system using structured and sequential sensor data. The goal is to identify unusual patterns or faults through data modeling and visualization. This internship offers a real-world opportunity to work on machine learning pipelines and understand both supervised and unsupervised approaches to anomaly detection. This phase focuses on offline/static modeling using historical sensor data in tabular and time-series formats. 🎯 Internship Objective Analyze sensor datasets representing various operational scenarios Apply and evaluate supervised classification models Transition into unsupervised anomaly detection approaches Visualize insights and document findings for technical and non-technical audiences 📘 Key Responsibilities Perform data preprocessing: cleaning, encoding, normalization, and feature engineering Train And Evaluate Classification Models Using Artificial Neural Networks (ANN) Long Short-Term Memory (LSTM) models for sequence-based classification Explore And Implement Unsupervised Anomaly Detection Techniques Isolation Forest One-Class SVM Z-score or IQR-based statistical methods Analyze And Visualize Model Outputs Using Confusion matrices Anomaly heatmaps Time-series plots Optional: Build a lightweight dashboard (e.g., Streamlit) to present findings About Company: TechnoExcel is the leading training and consulting company in Hyderabad offering data analytics solutions.

As a Data Scientist at our company located in Gurgaon, you will be an integral part of the Flight Safety team. Your primary responsibility will be to leverage advanced analytics and machine learning techniques to enhance safety-related decisions and optimize operational processes. By working extensively with time-series and multivariate data, you will identify anomalies, uncover patterns, and develop predictive models that are essential for improving flight safety and risk mitigation. Your key responsibilities will include performing exploratory data analysis to extract valuable insights from complex datasets, applying advanced anomaly detection techniques to identify safety risks, and developing machine learning models like ANN, RNN, and CNN for predictive safety analytics. You will also be involved in utilizing big data analytics tools, designing custom algorithms, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should possess a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. Additionally, a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, especially in anomaly detection and predictive analytics. Your key skills should include expertise in Data Analysis, Anomaly Detection, Machine Learning & Deep Learning, Big Data Analytics, Python, MATLAB, Custom Algorithm Design, and Data Collection & Preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in aviation safety, work in a collaborative environment, and be part of a team focused on predictive safety and operational excellence.,

Experience : 5.00 + years Salary : INR 1500000-2500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Ahmedabad) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Inferenz) What do you need for this opportunity? Must have skills required: Generative AI, NLP, Python, Java, R, Deep Learning, TensorFlow, Keras, PyTorch Inferenz is Looking for: Position: Lead AI/ML Engineer Location: Ahmedabad, Pune Required Experience: 5 to 12 Years Preferred Immediate Joiner We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelor’s or master’s degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description NP- immediate Location-Technopark, Trivandrum Experience- 5+ years (Mandatory) We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities: ● AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. ● Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. ● Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. ● Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. ● Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. ● Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills and Qualifications: ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. ● Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. ● Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. ● Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. ● Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). ● Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. ● Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). ● Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. ● Understanding of software development best practices, including version control (Git), testing, and code review. ● Excellent problem-solving skills, analytical thinking, and a data-driven approach. ● Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. ● Ability to work independently and as part of a collaborative team in a fast-paced environment. ● Immediate Joiner preferred

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You’ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You’ll be responsible not only for building models but also for managing their lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master’s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

Location : Gurugram Exp: 3+Years We are seeking a talented AI Engineer with 3 years of experience to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with hands-on experience in developing AI models and solutions. Experience in Gen AI, Agentic AI, RAG (Retrieval-Augmented Generation), and prompt engineering is essential. Responsibilities: Develop and implement AI models and algorithms. Build and optimize Gen AI and Agentic AI solutions. Collaborate with cross-functional teams to understand business requirements. Perform data preprocessing, analysis, and visualization. Train, test, and optimize machine learning models. Develop and integrate RAG systems to enhance AI performance. Apply prompt engineering techniques to improve model responses. Deploy AI solutions and monitor their performance. Stay updated with the latest advancements in AI technologies. Requirements: Bachelor's/Master's degree in Computer Science, AI, Data Science, or a related field. Proven experience in AI model development and deployment. Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. Strong understanding of machine learning algorithms and data analysis. Hands-on experience with Gen AI, Agentic AI, and RAG systems. Knowledge of prompt engineering techniques. Experience with cloud platforms and AI tools. Excellent problem-solving and analytical skil Job Type: Full-time Pay: Up to ₹1,100,000.00 per year Benefits: Health insurance Paid sick time Application Question(s): What is your total Experience ? What is your CTC ? What is your ECTC ? What is your Notice period Time ? Do you have experience into Graph RAG, Gen AI & ADK ? Work Location: In person

About the Role We are an ambitious technology company building innovative products at the intersection of artificial intelligence, accessibility, and digital content. We are seeking a skilled Machine Learning Engineer to join our team and drive the development of advanced machine learning systems across several high-impact applications. Responsibilities End-to-End ML Development: Design, train, and optimize deep learning models for computer vision, natural language processing, and multimodal data. Develop scalable pipelines for data collection, preprocessing, and augmentation. Implement real-time inference solutions suitable for web and mobile platforms. Research & Prototyping: Evaluate state-of-the-art models and adapt them to our product requirements. Build proof-of-concept systems to validate new ideas and features. Infrastructure & Deployment: Package and deploy models into production environments. Optimize models for latency and performance on resource-constrained devices. Collaboration: Work closely with cross-functional teams, including software engineers, designers, and product managers. Participate in code reviews, documentation, and knowledge sharing. Data Engineering & Infrastructure Build scalable data pipelines to collect, clean, and augment multimodal datasets (video, audio, text) Develop model deployment pipelines for mobile and web (TensorFlow Lite, ONNX, PyTorch Mobile) Integrate ML inference with our React Native, Python, and Node.js backends Applied Research & Prototyping Research state-of-the-art models (Transformers, Diffusion, GANs) and adapt them to Product use cases Develop proof-of-concepts and iterate rapidly with the product and design teams Contribute to model evaluation, A/B testing, and continuous improvement Must-Have Skills Experience in applied ML, deep learning, or computer vision Proficiency in Python, TensorFlow, PyTorch Experience with: CNNs and RNNs for video/sequence tasks NLP models (Transformers, BERT, GPT-style architectures) Real-time inference optimization (TensorRT, quantization, pruning) Strong understanding of data engineering workflows Familiarity with integrating ML into production systems (REST APIs, microservices) Nice-to-Have: Experience with LiDAR or 3D spatial data Familiarity with React Native and mobile ML deployment Contributions to open-source ML projects Publications or patents in ML/AI domains What We Offer: Opportunity to build technologies that fundamentally improve millions of lives A collaborative, purpose-driven environment Competitive salary and performance incentives Full ownership of end-to-end ML systems Access to cutting-edge infrastructure Job Type: Full-time Pay: ₹272,000.00 - ₹400,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Work Location: In person