2243 Numpy Jobs - Page 4

Job Description Position Title - Business Analyst Function/ Department-Analytics Employment Type- Full-time Purpose of the role: Build and operate the data pipelines and analytical workflows that turn raw transaction, inventory and customer data into actionable business insights. Detailed Responsibility: ● Lead end-to-end ETL development in Python or similar frameworks to ingest and transform data from Shopify, POS, WMS and marketplaces ● Perform large-scale data crunching, statistical analysis and cohort segmentation to surface trends in inventory velocity, customer LTV and channel economics ● Translate complex datasets into clear, narrative-driven dashboards and reports (Looker/Tableau/PowerBI) that inform merchandising, pricing and demand-planning decisions ● Automate recurring analysis and data-quality checks to ensure accuracy, timeliness and scalability of insights ● Partner closely with Ops, Merchandising and Finance to define key metrics, frame hypotheses and track impact of strategic initiatives Key Competencies: ● Expert in Python or similar frameworks for data manipulation (pandas, NumPy), SQL(Postgres/MySQL) and building data pipelines ● Strong ability to crunch multi-million-row datasets and perform statistical analysis (regression, time-series, cohort) ● Hands-on with BI tools (Looker, Tableau or PowerBI) and ability to design story-led dashboards ● Curious, hypothesis-driven thinker who can distill complex results into concise business recommendations ● Collaborative communicator, able to present insights to both technical and non-technical stakeholders Experience: ● Mandatory o 3–5 years as a data analyst/scientist in e-commerce or retail, with demonstrable Python or similar projects ● Desirable - o Experience architecting data pipelines end-to-end in a startup o Exposure to machine-learning models for forecasting or customer segmentation Educational Qualification: ● Mandatory - Bachelor’s in Statistics, Mathematics, Computer Science or related Show more Show less

Full stack Python Trainer/Instructor , 2+yrs exp, Calicut, Mavoor Job Title: Full Stack Python Django Trainer Job Summary: We are looking for a passionate and knowledgeable Python Trainer to deliver high-quality training sessions to students or professionals. Key Responsibilities: Design and deliver Python training programs (beginner to advanced levels) Develop training materials, assignments, quizzes, and projects Conduct live classroom or online training sessions Evaluate student performance and provide constructive feedback Stay updated with the latest developments in Python and related technologies Mentor and support learners through their learning journey Collaborate with instructional designers and content developers. Requirements: Proven experience in Python programming and software development Familiarity with Python libraries and frameworks (e.g., NumPy, Pandas, Django, Flask) Strong understanding of OOP, data structures, and algorithms Excellent presentation and communication skills Ability to explain complex concepts in an easy-to-understand manner Bachelor’s degree in Computer Science, Engineering, or a related field (preferred) Prior teaching or training experience is an advantage. CTC - Upto 25000 per month Exp - Min 2 years experience as full stack python trainer Immediate joiner preferred Industry: Software Training Interested candidates are requested to share their updated resumes to lidiya@affable.in or contact 9539450003 Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Schedule: Day shift Work Location: In person

Job Description : We are seeking a passionate and skilled AI Engineer ( Male) with 2–3 years of professional experience in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on knowledge of ML algorithms, NLP techniques, DL frameworks, and Computer Vision, along with a strong understanding of modern tools like Langchain, Ollama, and RAG architecture. This role offers the opportunity to work on cutting-edge AI applications, contribute to real-time system design, and collaborate with a team of talented engineers and researchers. Key Responsibilities: ● Design, develop, and deploy AI/ML models in production. ● Implement NLP pipelines including text preprocessing, tokenization, and sentiment analysis. ● Develop and optimize CNNs and RNNs/LSTMs for computer vision and time-series applications. ● Work on generative AI models including GANs, transformers, and LLMs. ● Conduct hyperparameter tuning and performance optimization. ● Collaborate with cross-functional teams to integrate AI solutions into existing systems. ● Prepare technical documentation and research reports. Required Skills & Knowledge : ● Proficiency in Python, along with NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. ● Understanding of ML techniques: supervised, unsupervised, and reinforcement learning. ● Strong grasp of bias-variance tradeoff, overfitting, bagging vs boosting, and feature scaling. ● Experience with CNNs, RNNs, LSTMs, transfer learning, dropout, and batch normalization. ● Knowledge of NLP workflows, tokenization, stop words handling, and text classification. ● Exposure to Computer Vision: image classification, object detection, filters/kernels, face recognition. ● Hands-on experience or knowledge of tools such as MediaPipe, Langchain, RAG, Ollama, and Prompt Engineering. ● Experience using Git and issue-tracking tools like JIRA. Preferred Qualifications: ● B.Tech / M.Tech in Computer Science, AI, Data Science, or related fields. ● Experience with cloud-based AI/ML deployment (AWS, Azure, GCP). ● Familiarity with vector databases and face embedding techniques. ● Understanding of Generative AI, LLM hallucinations, and Agentic AI concepts. Share your resume to hr@nesasoftware.com or 7306377006 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

We are looking for an experienced and passionate Data Science Trainer to join our in-office training team. The candidate must have strong subject knowledge, prior training experience, and excellent English communication skills. Only candidates with training experience will be considered. Key Responsibilities: Deliver structured, in-person training sessions on Data Science and related tools Create course content, hands-on assignments, and capstone projects Guide and support learners with real-time problem-solving Stay updated with evolving trends in Data Science and Machine Learning Requirements: Minimum 1 year of experience in Data Science training (mandatory) Proficient in Python, statistics, machine learning, and data analysis tools Excellent spoken and written English communication skills Work from office is mandatory (No remote option) Preferred: Knowledge of libraries like NumPy, Pandas, Scikit-learn, TensorFlow Familiarity with data visualization tools and cloud-based platforms Experience with Jupyter Notebooks, Git, and any LMS Job Type: Full-time Pay: ₹308,483.68 - ₹1,444,923.35 per year Schedule: Day shift Work Location: In person

We are looking for an experienced and passionate Python Trainer to join our team. The ideal candidate should have prior experience in training students or professionals in Python programming and must possess strong English communication skills. Key Responsibilities: Deliver interactive and engaging Python training sessions (online/offline) Prepare course materials, assignments, and assessments Provide guidance and doubt-clearing support to learners Continuously update course content as per industry standards Requirements: Minimum 1 year of experience in training Python (offline or online) Strong proficiency in Python (including libraries like NumPy, Pandas, etc.) Excellent verbal and written English communication skills Ability to simplify technical concepts for learners Preferred: Experience in training for data science, web development, or automation with Python Familiarity with tools like Jupyter, Git, or any LMS platforms Job Type: Part-time Pay: ₹9,792.23 - ₹33,538.62 per month Schedule: Day shift Monday to Friday Morning shift Rotational shift Work Location: In person

We are seeking a passionate and skilled AI Engineer with 2-3 years of professional experience in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on knowledge of ML algorithms, NLP techniques, DL frameworks, and Computer Vision, along with a strong understanding of modern tools like Langchain, Ollama, and RAG architecture. This role offers the opportunity to work on cutting-edge AI applications, contribute to real-time system design, and collaborate with a team of talented engineers and researchers. Key Responsibilities: ● Design, develop, and deploy AI/ML models in production. ● Implement NLP pipelines including text preprocessing, tokenization, and sentiment analysis. ● Develop and optimize CNNs and RNNs/LSTMs for computer vision and time-series applications. ● Work on generative AI models including GANs, transformers, and LLMs. ● Conduct hyperparameter tuning and performance optimization. ● Collaborate with cross-functional teams to integrate AI solutions into existing systems. ● Prepare technical documentation and research reports. Required Skills & Knowledge: ● Proficiency in Python, along with NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. ● Understanding of ML techniques: supervised, unsupervised, and reinforcement learning. ● Strong grasp of bias-variance tradeoff, overfitting, bagging vs boosting, and feature scaling. ● Experience with CNNs, RNNs, LSTMs, transfer learning, dropout, and batch normalization. ● Knowledge of NLP workflows, tokenization, stop words handling, and text classification. ● Exposure to Computer Vision: image classification, object detection, filters/kernels, face recognition. ● Hands-on experience or knowledge of tools such as MediaPipe, Langchain, RAG, Ollama, and Prompt Engineering. ● Experience using Git and issue-tracking tools like JIRA. Preferred Qualifications: ● B.Tech / M.Tech in Computer Science, AI, Data Science, or related fields. ● Experience with cloud-based AI/ML deployment (AWS, Azure, GCP). ● Familiarity with vector databases and face embedding techniques. ● Understanding of Generative AI, LLM hallucinations, and Agentic AI concepts. Share your resume hr@nesasoftware.com or 7306377006 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Hyderabad, India, IND Description Candidates need to have 10 years experience, and 5 years in engineering software solutions using Java, Spring boot. Core Characteristics and Soft Skills: Beyond technical proficiency, the right mindset and interpersonal skills are crucial for success on our team. We’d prioritize candidates who demonstrate: Problem-Solving Acumen: The ability to analyze complex problems, break them down, evaluate different approaches, and implement robust, efficient solutions. This includes troubleshooting existing systems and designing new ones. Independence and Initiative: We value engineers who can take ownership of tasks, research potential solutions independently, make informed decisions, and drive work forward with minimal supervision once objectives are clear. Dependability and Accountability: Team members must be reliable, meet commitments, deliver high-quality work, and take responsibility for their contributions. Strong Communication Skills: Clear, concise communication (both written and verbal) is essential. This includes explaining technical concepts to varied audiences, actively listening, providing constructive feedback, and documenting work effectively. Collaboration and Teamwork: Ability to work effectively within a team structure, share knowledge, participate in code reviews, and contribute to a positive team dynamic. Adaptability and Eagerness to Learn: The technology landscape and business needs evolve. We seek individuals who are curious, adaptable, and willing to learn new technologies and methodologies. Core Technical Skillset: Our current technology stack forms the foundation of our work. Proficiency or strong experience in the following areas is highly desirable: Backend Development: Java: Deep understanding of Java (latest LTS versions preferred). Spring Boot: Extensive experience building applications and microservices using the Spring Boot framework and its ecosystem (e.g., Spring Data, Spring Security, Spring Cloud). Messaging Systems: Apache Kafka: Solid understanding of Kafka concepts (topics, producers, consumers, partitioning, brokers) and experience building event-driven systems. Containerization & Orchestration: Kubernetes: Practical experience deploying, managing, and troubleshooting applications on Kubernetes. OCP (OpenShift Container Platform): Experience specifically with OpenShift is a significant advantage. AKS (Azure Kubernetes Service): Experience with AKS is also highly relevant. (General Docker knowledge is expected) CI/CD & DevOps: GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD pipelines using GitHub Actions for build, test, and deployment automation. Understanding of Git branching strategies and DevOps principles. Frontend Development: JavaScript: Strong proficiency in modern JavaScript (ES6+). React: Experience building user interfaces with the React library and its common patterns/ecosystem (e.g., state management, hooks). Database & Data Warehousing: Oracle: Experience with Oracle databases, including writing efficient SQL queries, understanding data modeling, and potentially PL/SQL. Snowflake: Experience with Snowflake cloud data warehouse, including data loading, querying (SQL), and understanding its architecture. Scripting: Python: Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary). Requirements Domain Understanding (Transportation & Logistics): While not strictly mandatory, candidates with experience or a demonstrated understanding of the transportation and logistics industry (e.g., supply chain management, freight operations, warehousing, fleet management, routing optimization, TMS systems) will be able to contribute more quickly and effectively. They can better grasp the business context and user needs. Additional Valuable Skills: We are also interested in candidates who may possess skills in related areas that complement our core activities: Data Science & Analytics: Experience with data analysis techniques. Knowledge of Machine Learning (ML) concepts and algorithms (particularly relevant for optimization, forecasting, anomaly detection in logistics). Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn). Experience with data visualization tools and techniques. Understanding of optimization algorithms (linear programming, vehicle routing problem algorithms, etc.). Cloud Platforms: Broader experience with cloud services (particularly Azure, but also AWS or GCP) beyond Kubernetes (e.g., managed databases, serverless functions, monitoring services). Testing: Strong experience with automated testing practices and tools (e.g., JUnit, Mockito, Cypress, Selenium, Postman/Newman). API Design & Management: Deep understanding of RESTful API design principles, API security (OAuth, JWT), and potentially experience with API gateways. Monitoring & Observability: Experience with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Dynatrace, etc., for monitoring application health and performance. Security: Awareness and application of secure coding practices (e.g., OWASP Top 10).

Job Description: We are looking for experienced and passionate Technical Trainers to join our team to deliver engaging training sessions in the following domains: Python Programming Java Development Data Science (ML, AI, Statistics, Visualization) Microsoft Azure (Cloud, DevOps, Data Engineering) Data Engineering (ETL, Big Data, SQL, Python) Responsibilities: Design, develop, and deliver effective training content and materials (theory + hands-on) Conduct online/offline training sessions as per the schedule Provide real-time examples and projects for better understanding Guide learners through assessments, case studies, and live projects Monitor the progress of trainees and provide feedback Stay updated with current technologies and industry trends Address student doubts and ensure clarity of concepts Requirements: Strong subject knowledge in the chosen domain Excellent communication and presentation skills Prior training or mentoring experience preferred Ability to simplify complex technical concepts Bachelor's/Master’s degree in Computer Science/Engineering or related field Certification in respective technology is a plus (e.g., Microsoft Certified: Azure Data Engineer, etc.) Experience Required: 2+ years (Freshers with strong knowledge can also apply) Salary: As per industry standards Preferred Skills by Domain:Python Trainer Core Python, OOPs, File Handling, Libraries (Pandas, NumPy, Matplotlib) Hands-on coding and debugging knowledge Java Trainer Core & Advanced Java, JDBC, Collections, Spring Framework Project implementation guidance Data Science Trainer Python/R, Statistics, Machine Learning, Deep Learning Tools: Jupyter, Power BI, Tableau, SQL Azure Trainer Azure Fundamentals, Azure Data Factory, Azure DevOps Experience in real-world Azure projects Data Engineering Trainer Data pipelines, ETL, SQL, Python, Hadoop/Spark Cloud-based data solutions (AWS/GCP/Azure How to Apply: Interested candidates can send their resume Job Type: Full-time Schedule: Day shift Work Location: In person

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 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: 3-5+ 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. 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 Morning shift Supplemental Pay: Performance bonus Work Location: In person

Job Description Lead development of robust short / mid / long term industry and segment forecasts for specific regions around the world Conduct analysis of various factors that influence vehicle sales as well as Powertrain adoption (industry, macroeconomic, consume behavior, demographics, competitive cycle plan, regulatory trends etc.) Develop insightful reports and dashboards on various KPIs impacting vehicle sales and Powertrain growth using new age tools Develop new and/or enhance existing analytical tools and processes to improve volume-forecasting Support Business and Sales Planning Analytics activities and interactions with business customers in region Responsibilities Segmentation forecasts Segmentation forecasting models for key markets Short / mid-term forecasts Comprehensive segmentation analysis for key markets identifying drivers and trends Development/Maintenance of Sales Dashboards Qualifications 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 5+ years automotive experience in Marketing, Finance, Planning, Product Development and/or Sales Experience with statistical forecasting and / or developing statistical / Mathematical / AI models as well as hands on experience working on AI tools and cloud technologies Demonstrated ability to interface with personnel in diverse markets and/or functions as well as effectively and succinctly present analysis and recommendations to a diverse audience Show more Show less

Job Description – Data Science Trainer Location: Baner, Pune Job Description : Minimum 2-3 years of trining or Industry experiance About the Role: We are looking for a passionate and experienced Data Science Trainer to join our team full-time. In this role, you will be responsible for delivering high-quality training sessions in data science, machine learning, and AI to students or working professionals. Your goal is to equip learners with the skills and knowledge to thrive in data-driven roles. Key Responsibilities: Deliver live instructor-led training sessions on topics such as Python, SQL, Data Analysis, Machine Learning, Deep Learning, NLP, and AI. Create engaging training materials, assignments, quizzes, and capstone projects. Mentor learners through 1-on-1 or 1 to many doubt-solving sessions and project guidance. Stay up-to-date with the latest trends and technologies in data science and incorporate them into the curriculum. Assess learner performance and provide feedback for improvement. Contribute to curriculum design and development based on industry needs. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 2-3+ years of hands-on experience in data science, analytics, or a related domain. Prior experience in teaching/training (online or classroom) preferred. Proficiency in Python, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, SQL, and ML concepts. Strong communication and presentation skills. Experience with tools like Jupyter Notebook, Google Colab, and cloud platforms is a plus. Nice to Have: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience working on industry projects or consulting in data science. Ability to explain complex concepts in a simple and relatable manner. Perks Access to cutting-edge learning resources and certifications Collaborative team culture Opportunities for career advancement in the EdTech/training indust Job Type: Full-time Pay: ₹40,000.00 - ₹50,000.00 per month Schedule: Day shift Weekend availability Supplemental Pay: Commission pay Performance bonus Experience: Training & development: 2 years (Preferred) Work Location: In person

Job Description The Automation Tester will be responsible for design and develop test Frameworks and automate tests using Cypress. Develop automated tests to test Web Services and REST APIs. Work closely with Scrum team members to clarify requirements, ensure testability and ability to automate, to provide feedback on design, both functional and technical. Innovate on latest tools and processes to improve QA functional manual and Automation testing, document best practices and mentor junior team members. Identify test cases from Acceptance Criteria for the User Stories, estimate work and participate in design reviews. Work on frameworks to ensure continuous deployment and continuous integration. Develop new proofs-of-concepts for QA Automation, ensuring continual improvements. Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Your future duties and responsibilities The role of automation SME is an independent role who can develop, execute the test automation script with limited supervision. Key challenge is to resolve automation technical challenges and provide overall delivery on time without oversight. The role offers the incumbent an opportunity to enhance automation technical skills. Come join to work as one IT team who are committed to delivering excellence and value to the business. We believe in investing in skill development and career growth of our staff. Here you would work in a supportive environment where you can expect lots of encouragement and help from your teams. You would be working alongside IT professionals who love what they do and enjoy sharing their knowledge, skills and enthusiasm. Many opportunities will be available to learn and explore, building up new areas of expertise and different business domains. Required qualifications to be successful in this role 7+ years of overall experience in QA, with a focus on Test Automation for at least 4 years. Strong expertise in Cypress for automating complex web applications. Experience in using Cypress with Cucumber for Behavior-Driven Development (BDD) Proficiency in Python, SQL, NumPy, and Pandas for comprehensive data validations. Experience in BDD with Cucumber. Proficient in testing REST APIs using Cypress. Experience with JavaScript, especially in the context of using Cypress for automation. Proficient in Git for version control. Working knowledge of CI, CD & CT implementation using GitHub Actions. Skills in test integrations, defect management, and test management using Azure DevOps/VSTS. Excellent verbal and written communication skills. Self-driven, results-oriented, motivated, and a collaborative team player. Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Job Description: Prwatech is seeking a passionate and knowledgeable Data Science Trainer to deliver hands-on training sessions to students and professionals. The ideal candidate should have a solid understanding of data science concepts, practical experience with tools and technologies, and a desire to guide learners toward success in the field. Key Responsibilities: Conduct classroom and online training sessions in Data Science and Machine Learning. Deliver content on Python, SQL, Data Analysis, Machine Learning, Deep Learning, and related tools. Guide students through real-time projects and capstone assignments. Develop and update training material and practice exercises. Resolve queries and provide one-on-one mentoring support. Assist in evaluating student performance and providing feedback. Stay current with industry trends and update content accordingly. Required Skills: Strong knowledge of Python, NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch. Good command over SQL and data visualization tools (Matplotlib, Seaborn). Understanding of statistics, data preprocessing, and model evaluation. Excellent communication and presentation skills. Passion for teaching and mentoring. Eligibility: Bachelor’s/Master’s in Computer Science, Statistics, Data Science, or a related field. Freshers with strong knowledge and project work are welcome. Prior experience in teaching or corporate training is an added advantage. Job Types: Full-time, Permanent, Fresher Pay: ₹230,000.00 - ₹240,000.00 per year Schedule: Day shift Work Location: In person

Dear candidates we are hiring for Data Analyst' Qualification::Any Graduation Experience::2+years Location::Bangalore What We’re Looking For: ● 2–4 years of experience as a data analyst or similar role, preferably within a product based company ● Strong analytical and problem-solving skills with a knack for pattern recognition andanomaly detection. ● Proficiency in SQL, Python (Pandas, NumPy, Matplotlib /Seaborn), and data visualization tools (e.g. Meta base, Looker Studio). ● Comfortable working with analytical databases (e.g., Big Query, Redshift, Snowflake)to handle large-scale data operations efficiently ● Ability to communicate complex insights to both technical and non-technical stakeholders .● A proactive mindset and a passion for using data to drive meaningful change. ● Good to have - Hands-on experience with time-series or telemetry data, especially from IoT or connected vehicle systems and exposure to basic ML techniques Note:: Candidates from Manufacturing company will be more prefer Job Type: Full-time Pay: ₹120,000.00 - ₹180,000.00 per year Work Location: In person

Description: In this role, you will work as part of Unilode’s internal software development team with a strong emphasis on applying best practice principles in developing software for Unilode’s bespoke IT systems. You will support Global Pooling Operations by ensuring software development processes are efficient, fully documented, and contribute to improved quality and output. Key Responsibilities Application Development and Support Business Insight, Collaborate, Courage, Customer Focus, Drive Results, Ensure Accountability Develop scalable and testable Python code using appropriate third-party libraries such as NumPy and Pandas. Perform thorough testing and debugging to ensure robust application functionality. Lead code migration initiatives from Python 2.x to Python 3.x. Support large data processing needs through efficient architecture and coding practices. Collaboration and Requirements Analysis Collaborate, Customer Focus, Business Insight Work closely with Business Analysts and Product Owners to define application requirements. Liaise with IT Business Analysts and Business Architects to clarify software functionality requirements. Engage in cross-functional collaboration to ensure alignment of solutions with business needs. Software Quality and Documentation Ensure Accountability, Drive Results Follow and promote standard software development principles and processes. Maintain high-quality documentation of code, workflows, and proposed process improvements. Contribute to continuous improvement by identifying areas for increased efficiency. Our Values in Action: Be humble and curious – Stay open to feedback and continuously learn new tools, frameworks, and practices. Inspire, empower and prosper – Help team members grow through shared learning and supportive collaboration. Team up to be better – Work closely with stakeholders to create aligned, functional, and scalable solutions. Be passionate about our customers – Build intuitive systems that support business goals and improve end-user experience. Take ownership and get stuff done – Drive tasks to completion with a proactive and hands-on approach. Be eager to win – Challenge yourself to improve code quality, performance, and value delivery. Build a better future – Contribute to a more advanced and integrated technology landscape for Unilode. Small Print This position sits at the heart of Unilode's digital transformation efforts. The successful candidate will need to manage complex codebases, support legacy transitions, and work across time zones with global teams. Flexibility, discipline, and clear communication are essential. Requirements: Skills and Experience Degree or diploma in Computer Science, IT, Computer Engineering, or Information Systems Management, or relevant experience. Expert-level proficiency in Python and libraries such as NumPy and Pandas. Strong understanding of multiprocessing and Python's threading limitations. Experience working with large data volumes and associated performance tuning. Familiarity with MongoDB (3–5), including aggregation framework and replica sets. Exposure to PHP, Laravel, JavaScript, TypeScript, Angular, and React (preferred). Additional experience with .NET C# MVC, .NET Core 5, jQuery, and MSSQL is an advantage. Comfortable working with Docker, PowerShell, and/or Linux Bash. Proficient in Git version control.

Designation: Senior Analyst – Data Science Level: L2 Experience: 4 to 6 years Location: Chennai Job Description: We are seeking an experienced MLOps Engineer with 4-6 years of experience to join our dynamic team. In this role, you will build and maintain robust machine learning infrastructure that enables our data science team to deploy and scale models for credit risk assessment, fraud detection, and revenue forecasting. The ideal candidate has extensive experience with MLOps tools, production deployment, and scaling ML systems in financial services environments. Responsibilities: Design, build, and maintain scalable ML infrastructure for deploying credit risk models, fraud detection systems, and revenue forecasting models to production Implement and manage ML pipelines using Metaflow for model development, training, validation, and deployment Develop CI/CD pipelines for machine learning models ensuring reliable and automated deployment processes Monitor model performance in production and implement automated retraining and rollback mechanisms Collaborate with data scientists to productionize models and optimize them for performance and scalability Implement model versioning, experiment tracking, and metadata management systems Build monitoring and alerting systems for model drift, data quality, and system performance Manage containerization and orchestration of ML workloads using Docker and Kubernetes Optimize model serving infrastructure for low-latency predictions and high throughput Ensure compliance with financial regulations and implement proper model governance frameworks Skills: 4-6 years of professional experience in MLOps, DevOps, or ML engineering, preferably in fintech or financial services Strong expertise in deploying and scaling machine learning models in production environments Extensive experience with Metaflow for ML pipeline orchestration and workflow management Advanced proficiency with Git and version control systems, including branching strategies and collaborative workflows Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes) Strong programming skills in Python with experience in ML libraries (pandas, numpy, scikit-learn) Experience with CI/CD tools and practices for ML workflows Knowledge of distributed computing and cloud-based ML infrastructure Understanding of model monitoring, A/B testing, and feature store management. Additional Skillsets: Experience with Hex or similar data analytics platforms Knowledge of credit risk modeling, fraud detection, or revenue forecasting systems Experience with real-time model serving and streaming data processing Familiarity with MLFlow, Kubeflow, or other ML lifecycle management tools Understanding of financial regulations and model governance requirements Job Snapshot Updated Date 13-06-2025 Job ID J_3745 Location Chennai, Tamil Nadu, India Experience 4 - 6 Years Employee Type Permanent

Summary Position Summary Data Scientist Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? If yes, we have just the role for you. In Deloitte’s Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations. You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs. As a Data Scientist, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills. Specifically, you will be expected to: Develop, test, and deploy machine learning/AI models Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives Contribute to internal discussions on emerging machine learning methodologies Qualifications Required: 2+ years of relevant experience Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) Experience using Python and relevant libraries ( NumPy, Pandas, Scikit-learn, etc.) Coursework related to machine learning, deep learning, and programming At least an introductory understanding of LLMs and prompt engineering Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Demonstrated ability to write high-quality code Demonstrated ability to develop machine learning models Ability to travel as needed ( Preferred: 3+ years of relevant experience Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) Relevant work experience (internships, school jobs, etc.) Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps Familiarity with machine learning model development life cycles Experience with version control practices and tools (Git, etc.) Public AI-related projects you have developed available on GitHub Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300881 Show more Show less

Company Description Every day, thousands of patients across India face delays, stress, and reduced quality of care due to cumbersome administrative processes and insurance claim challenges. At Vitraya, we directly confront these issues by using advanced AI to streamline healthcare operations, eliminate administrative friction, and ensure healthcare providers can fully focus on patient outcomes. Role Description This is a full-time role for a Senior Fullstack AI/ML Engineer. The selected candidate will be responsible for designing, developing, and implementing AI and machine learning models, with a focus on pattern recognition and neural networks. Daily tasks include coding and software development, data analysis, and improving existing algorithms. The Senior Fullstack AI/ML Engineer will work closely with cross-functional teams to ensure the integration of AI solutions into the claims settlement process. We are looking for a passionate Senior AI/ML Engineer committed to building transformative solutions that positively impact patient care and healthcare delivery. 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 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. Why Join Us: Direct Patient Impact: Your contributions will significantly enhance patient care quality and reduce administrative burdens on healthcare providers. Innovation with Real Outcomes: Be part of pioneering AI applications that provide tangible, measurable improvements in healthcare. Professional Growth: Tackle unique, meaningful challenges that will sharpen your skills and offer growth in a supportive, collaborative environment. Empowered Team: Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of a dedicated, mission-driven team. 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. 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. Show more Show less

🤖 Machine Learning Intern – Remote | Step into the Future of AI Are you fascinated by how machines learn, predict, and improve over time? Dive into the world of intelligent systems with Skillfied Mentor as a Machine Learning Intern and gain real-world experience in building ML models and handling data. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Machine Learning Intern , you’ll work on projects that involve real datasets, basic algorithms, and collaborative problem-solving. This is your chance to apply coding and math to develop intelligent solutions. Understand core ML concepts like regression, classification & clustering Work with Python libraries like Scikit-learn, Pandas, NumPy Assist in preprocessing data, training models, and analyzing performance Explore real use-cases in recommendation, prediction, and automation Collaborate remotely with mentors and peers in the AI/ML field 🔍 You’re a Great Fit If You: ✅ Know or are learning Python and ML concepts ✅ Are curious about how algorithms work behind the scenes ✅ Can commit 5–7 hours per week (remotely and flexibly) ✅ Are analytical, logical, and love experimenting with data ✅ Want to build practical machine learning projects for your future 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Hands-On ML Projects for Resume & GitHub 🧠 Practical Exposure to Model Building & Evaluation 📈 Experience in Solving Real Problems with Machine Learning ⏳ Last Date to Apply: 20th June 2025 Whether you're a student, beginner, or transitioning into AI – this internship will help you develop real, applicable skills in Machine Learning . 👉 Apply now and let your ML journey begin with Skillfied Mentor. Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

Data Science 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 Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models Show more Show less