4918 Numpy Jobs - Page 44

We are seeking a highly skilled AI/ML Web Scraping Specialist to join our data engineering and analytics team. The ideal candidate will have hands-on experience in building robust web scraping pipelines focused on Instagram and other social media platforms (e.g., Facebook, TikTok, YouTube, X/Twitter) . The role involves designing scalable scraping architectures, solving anti-bot challenges, and applying machine learning to classify, enrich, or analyze social media content. Key Responsibilities Design and implement advanced web scraping tools, scripts, and pipelines using Python (BeautifulSoup, Scrapy, Selenium, Playwright, etc.). Build robust scrapers for social media platforms like Instagram, TikTok, X (Twitter), Facebook, and LinkedIn, bypassing rate limits and anti-bot mechanisms (Cloudflare, reCAPTCHA, etc.). Leverage APIs (when available) and reverse-engineer web/mobile requests to extract structured data. Develop and train ML models for tasks such as content categorization, influencer classification, sentiment analysis, engagement prediction, etc. Automate scraping workflows, schedule jobs (using Airflow/Cron), and store data in NoSQL or relational databases. Maintain and optimize scraping performance, and handle edge cases or UI changes in target platforms. Work with large-scale data pipelines, and ensure clean, deduplicated, and enriched datasets. Collaborate with product, marketing, and data science teams to provide actionable insights from social media data. Required Skills and Qualifications Strong programming skills in Python with proven experience using Scrapy, Selenium, Playwright, or Puppeteer . Deep knowledge of HTTP, HTML DOM traversal, JavaScript rendering, proxies, user agents, and browser automation. Solid understanding of Instagram’s data structures , public endpoints, GraphQL queries, and security challenges. Familiarity with anti-bot bypass techniques : rotating proxies, CAPTCHA solving (2Captcha, AntiCaptcha), session management. Hands-on experience in training and deploying ML models (NLP, classification, clustering) using scikit-learn, TensorFlow, or PyTorch . Experience with MongoDB, PostgreSQL, or Elasticsearch for data storage and retrieval. Good understanding of data privacy, legal considerations, and ethical scraping practices. Preferred Skills Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Knowledge of Instagram Business APIs , Facebook Graph API, and TikTok’s unofficial endpoints. Prior work on influencer discovery, brand monitoring, or social listening tools. Experience in building data dashboards using tools like Streamlit, Power BI, or Tableau . Contributions to open-source scraping libraries or ML projects. Tools & Technologies You Might Use Python, Scrapy, Selenium, Playwright, Puppeteer Pandas, NumPy, scikit-learn, OpenAI APIs PostgreSQL, MongoDB, Redis, Elasticsearch AWS Lambda, EC2, S3, Cloud Functions Git, Docker, CI/CD pipelines

Key Responsibilities: Develop, fine-tune, and deploy LLM-based NLP models for tasks such as text classification, summarization, entity recognition, and question answering. Implement deep learning architectures using TensorFlow and/or PyTorch . Integrate OpenAI APIs and other foundation models into internal applications and tools. Design and build computer vision models for image detection, recognition, classification, and segmentation. Collaborate with cross-functional teams including product managers, data engineers, and UI/UX designers. Stay updated with the latest research trends in AI/ML and apply them to enhance system capabilities. Optimize model performance for scalability, accuracy, and speed. Build pipelines for data preprocessing, model training, validation, and deployment. Document models, experiments, and system behavior for team knowledge sharing. Key Skills & Qualifications: Bachelor's or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field. Strong hands-on experience with TensorFlow (or PyTorch). Deep understanding of NLP techniques , transformers , BERT , GPT , T5 , etc. Experience working with OpenAI , Hugging Face , or other LLM frameworks. Solid foundation in Computer Vision concepts and frameworks like OpenCV , YOLO , CNNs , Detectron , etc. Proficient in Python and relevant libraries (e.g., Numpy, Pandas, Scikit-learn). Experience with REST APIs, Flask/FastAPI for deploying ML models is a plus. Excellent problem-solving and analytical skills. Preferred: Prior experience in building AI-based SaaS products or intelligent automation solutions. Knowledge of MLOps , model versioning , and cloud platforms (AWS/GCP/Azure). Familiarity with Reinforcement Learning and Generative AI is a bonus. Job Type: Full-time Pay: Up to ₹50,000.00 per month Schedule: Morning shift Work Location: In person

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. TThe AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Python Developer - Sr. Consultant The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies. Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications: 6-9 Years of technology Consulting experience Education: Bachelors/Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django, Flask, FastAPI, Pyramid) Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills: Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git, Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality Good Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill 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. 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. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. 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. Requisition code: 300058

Job Summary We are seeking a qualified AI/ML Trainer to join our institution, primarily focused on teaching B.Tech, MCA, and M.Sc-IT courses. This position is based in Bhubaneshwar. The trainer will deliver comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science, equipping students with the theoretical foundation and practical skills necessary for industry readiness. Responsibilities Teaching and Lecturing: Deliver engaging and structured lectures on AI, ML, and related areas to B.Tech, MCA, and M.Sc-IT students. Teach topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Deep Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. Ensure students gain both conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Continuously update teaching content to reflect industry trends and technological advancements. Develop course materials including lecture notes, practical assignments, mini-projects, and assessments. Create a collaborative and project-based learning environment to enhance student understanding. Research and Innovation: Conduct applied research in AI/ML and contribute to academic or industry publications. Stay updated with the latest in AI research, tools, and open-source frameworks. Support and guide students in AI/ML-based research and innovation projects. Mentorship: Provide mentorship to students working on AI/ML internships, final year projects, or competitions (e.g., Kaggle, Hackathons). Help students apply algorithms to real-world datasets and problem domains. Collaboration: Collaborate with academic peers and industry experts to strengthen the AI/ML curriculum and delivery. Establish connections with AI/ML startups or companies for student internships, guest lectures, and collaborative projects. Professional Development: Participate in AI/ML workshops, webinars, and conferences. Continuously upgrade your technical skills to match the evolving AI landscape. Qualifications Master’s degree (M.Tech/M.Sc/MCA – with 6 Months to 1 Year experience) in Artificial Intelligence, Computer Science, Data Science, or a related field. Strong background in Machine Learning, Deep Learning, and Python-based AI tools. Teaching or corporate training experience is highly desirable. Skills and Competencies Expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn. Strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Ability to explain complex algorithms in a simple, practical manner. Excellent communication and presentation skills. Analytical thinking and problem-solving abilities. A passion for teaching and mentoring future AI professionals. Location Bhubaneshwar Benefits Competitive salary and benefits package. A dynamic and innovative educational environment. The opportunity to shape future AI/ML professionals. Involvement in real-world problem solving and research-driven teaching.

Job Summary: We are seeking a qualified Python Trainer to join our institution, primarily focused on teaching B.Tech, MCA, and M.Sc-IT courses. This position is available at our Bhubaneshwar location. The trainer will deliver comprehensive lectures on Python and related technologies including data handling, object-oriented programming, web frameworks, and emerging Python applications in automation and data science. Responsibilities Teaching and Lecturing: Deliver engaging and informative lectures on Python and related subjects to B.Tech, MCA, and M.Sc-IT students. Teach topics such as Core Python, Object-Oriented Programming, Data Structures using Python, Web Development with Django/Flask, Python for Data Analysis, and Scripting for Automation. Ensure students develop both theoretical knowledge and hands-on programming skills. Adapt teaching methodologies to suit diverse learning needs and industry trends. Design and develop course materials, including syllabi, lecture notes, and assessments. Foster a dynamic and interactive learning environment to promote student engagement. Research and Innovation: Conduct research in the area of Python and its applications; contribute to academic publications. Stay updated with the latest Python libraries, frameworks, and industry applications. Encourage and guide students in research projects related to Python and open-source technologies. Mentorship: Mentor students in developing Python-based projects, preparing for internships, or solving real-world problems. Support students in applying theoretical knowledge through practical exercises and capstone projects. Collaboration: Work collaboratively with fellow faculty members and industry professionals to enhance curriculum delivery. Build partnerships with industry experts for guest lectures, hackathons, internships, and project guidance. Professional Development: Continuously enhance your knowledge by attending workshops, webinars, and technical events focused on Python and open-source ecosystems. Engage in self-learning to stay ahead in emerging Python trends like AI, ML, and data engineering. Qualifications Master’s degree (M.Tech/M.Sc/ MCA – with 6 Months to 1 Year experience) in Information Technology, Computer Science, or a related field. Demonstrated expertise and practical experience with Python and its ecosystems. Prior experience in teaching or mentoring in Python programming is desirable. Skills and Competencies Strong command over Core and Advanced Python programming. Hands-on experience with Python frameworks such as Django, Flask, or FastAPI. Familiarity with tools like Pandas, NumPy, Matplotlib, and automation libraries. Strong communication and presentation skills. Ability to motivate and inspire students toward coding excellence. Problem-solving mindset and practical approach to training. Location Bhubaneshwar Benefits Competitive salary and benefits package. Opportunity to work in a dynamic and supportive educational environment. Be a part of shaping the next generation of Python developers. Engage in impactful projects and contribute to real-world problem-solving through teaching.

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies Driving the technical discussions with clients along with Project Managers. Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. Mentoring and coaching junior Python/AI/ML engineers. Sharing knowledge through knowledge-sharing technical presentations. Implement new Python/AI features with high quality coding standards. Must-To Have: B.Tech/B.E. in computer science, IT, Data Science, ML or related field. Strong proficiency in Python programming language. Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. Proficient in Debugging and Exception Handling Professional experience in developing and operating AI systems in production. Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). Experience in working in Agile methodology Good-To Have: A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Python framework (Django/Flask/Fast API) & API integration. AI/ML/DL/MLOops certification done by AWS. Experience with OpenAI API. Good in Japanese Language Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Work Location: In person Expected Start Date: 14/08/2025

What You’ll Do: Design and deliver engaging training sessions on AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Mentor and guide learners through hands-on projects, coding exercises, and real-world machine learning applications Continuously update and improve training materials to reflect current industry trends, tools, and best practices Provide technical support, troubleshoot learner issues, and ensure a high-quality learning experience during training sessions What We’re Looking For: Strong hands-on experience in Python programming , with the ability to write clean, efficient, and modular code Solid understanding of statistics and probability relevant to machine learning (e.g., hypothesis testing, distributions, regression, etc.) Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and relevant libraries like NumPy and pandas Prior experience delivering technical training or mentoring , preferably in a structured or online learning environment Excellent communication and presentation skills with the ability to explain complex concepts clearly Flexibility and availability to deliver sessions in US time zones Job Type: Full-time Pay: ₹15,000.00 - ₹60,000.00 per month Benefits: Paid time off Schedule: Night shift US shift Ability to commute/relocate: Ahmadabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 2 years (Preferred) Statistical analysis: 2 years (Preferred) Shift availability: Night Shift (Preferred) Work Location: In person Expected Start Date: 23/07/2025

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Job Overview Are you a knowledgeable ML/AI professional or instructor with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Content Contributor, you will work with the curriculum team to create engaging, instructionally sound learning experiences in the Machine Learning and AI domain. Working with subject matter experts (SMEs), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Skills Required Excellent scripting, writing, and communication skills; able to distil complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. More About Skillsoft Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. For more information, visit www.exlservice.com. Job Summary: We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python , coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making. Key Responsibilities: Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization. Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis. Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs. Build scalable data pipelines and automate data workflows. Work collaboratively with cross-functional teams to define project goals and deliver actionable insights. Communicate analytical results and technical concepts to both technical and non-technical stakeholders. Stay current with advancements in AI/ML and GenAI technologies and frameworks. Required Skills: Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch . Proficiency in SQL for data extraction, joins, and optimization. Solid understanding of machine learning algorithms and data science best practices. Experience handling structured and unstructured data. Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain). Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.

Senior Data Scientist Req number: R5797 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re searching for an experienced Senior Data Scientist who excels at statistical analysis, feature engineering, and end to end machine learning operations. Your primary mission will be to build and productionize demand forecasting models across thousands of SKUs, while owning the full model lifecycle—from data discovery through automated re training and performance monitoring. This is a Full-time and Hybrid position. Job Description What You’ll Do Advanced ML Algorithms: Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Data Analysis & Feature Engineering: • Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. TimeSeries Forecasting (Demand): • Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. MLOps & Model Lifecycle: • Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Statistical Analysis & Experimentation: • Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Collaboration & Leadership: Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. What You'll Need M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (Big Query, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Job Title: ML Engineer/Data Scientist Duration: 12 Months Location: PAN INDIA Timings: Full Time (As per company timings) Notice Period: within 15 days or immediate joiner Experience: 0- 2 years About The Job We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What We're Looking For At least 1-2 years of experience in designing & building AI applications for customer and deploying them into production At least 1-2 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure. Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields.

Python libraries and frameworks such as FastAPI, Pandas, NumPy, Pydicom. Frontend dev skills with proficiency in JavaScript, React, and TypeScript Strong experience in Python, Flask, HTML.

Join our Team About this opportunity: We are seeking an experienced Senior Backend Engineer to join our Intelligent Automation and AI engineering team. This role is critical to driving the development of scalable backend systems that enable the enterprise-wide adoption of Generative AI solutions. The ideal candidate will bring strong technical expertise in API orchestration, data engineering, and memory optimization, coupled with a passion for operationalizing AI at scale across business functions. As a key member, you will design and build backend frameworks that power intelligent agents, streamline workflows, and unlock value for diverse business units. What you will do: Architect and develop robust backend systems to enable enterprise AI solutions across finance, operations, HR, and customer support functions. Design and implement data preprocessing and chunking pipelines to ensure efficient use of Large Language Models (LLMs) and cost optimization. Integrate vector databases and relational databases to support hybrid memory architectures for AI agents. Develop API orchestration layers leveraging e.g. LangChain, FastAPI/Django, and enterprise-grade middleware tools. Collaborate with business domain leaders to understand functional requirements and design domain-aware memory strategies for AI-powered workflows. Implement caching, validation, and summarization strategies to deliver accurate, cost-effective, and scalable AI solutions. Ensure secure, reliable integration of AI systems with internal enterprise platforms via REST/SOAP APIs. Document architectural blueprints, technical specifications, and operational workflows for enterprise-wide adoption. Stay ahead of trends in Generative AI and backend engineering to support enterprise transformation objectives. The skills you bring: 8-10 Years of experience. Technical Expertise: Proven experience designing and delivering backend solutions for AI/ML applications at scale. Python Proficiency: Strong hands-on skills with Python (Pandas, Numpy) for data engineering and validation workflows. API Orchestration: Expertise in developing and managing APIs (FastAPI, Django) and orchestrating workflows. Data Management: Experience with vector databases and relational databases LLM Integration: Working knowledge of cloud-based LLM APIs (Claude, OpenAI, Hugging Face) and memory optimization techniques. Enterprise Mindset: Ability to work within large, complex organizations, balancing innovation with operational stability and security requirements. Collaboration: Strong interpersonal skills to work with cross-functional business and IT teams in a transformation context. Preferred: Exposure to agentic AI architectures and designing token-efficient AI workflows for enterprise use cases. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 769360

Principal Data Scientist / Senior Data Scientist / Data Scientist - NLP / Machine Learning Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally.

Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

We’re looking for a hands-on and visionary AI Lead to spearhead our AI initiatives across domains like NLP, computer vision, generative AI, recommendation systems, and predictive analytics. You’ll lead a focused team (Data Scientist, ML Engineer, Intern) and be directly involved in building, deploying, and integrating AI solutions into real-world AEC workflows. Key Responsibilities Lead AI strategy, research, and deployment aligned with business goals Build models for NLP, CV, generative AI, and intelligent automation Collaborate cross-functionally to embed AI into products and operations Mentor a small AI/ML team Ensure ethical AI practices and data governance compliance Required Skills & Experience Education: BE/BTech or ME/MTech in Computer Science, Data Science, AI, or related field Certifications in AI/ML, cloud AI platforms, or responsible AI practices (preferred) Technical Skills : 4–5 years in AI/ML roles with strong Python skills Experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, and NLP tools Knowledge of FastAPI/Flask, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) Proficiency in Pandas, NumPy, SQL, and visualization tools Exposure to AEC/design domains is a plus Knowledge of SQL and NoSQL databases; BI tools like Power BI or Tableau Strong communication and leadership skills Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Application Question(s): What is your current CTC? What is your expected CTC? What is your notice period ? Location: Mumbai, Maharashtra (Required) Work Location: In person

Job Title: AI/ML Trainer Company: CBitss Technologies Location: Sec 34A, Chd Experience Required: Minimum 2 Years Joining: Immediate Note: Freshers/College passout are not eligible for this role. Job Description: CBitss – A Govt. Recognised Institute in Chandigarh is looking for a passionate and experienced AI/ML Trainer to join our team immediately. The ideal candidate will have a strong background in Artificial Intelligence and Machine Learning, with a proven track record of training professionals or students in these domains. This role requires both technical expertise and excellent communication skills to deliver hands-on, engaging training sessions. Key Responsibilities: Deliver classroom and/or online training sessions on AI/ML concepts and tools. Develop course content, training materials, projects, and assessments. Guide students through practical hands-on projects using Python, ML libraries (NumPy, Pandas, Scikit-learn, etc.), and AI frameworks (TensorFlow, Keras, PyTorch). Stay updated with the latest trends and advancements in AI/ML technologies. Provide mentorship and support to students during and after training. Conduct evaluations to assess student performance and provide feedback. Customize training modules as per industry and learner needs. Required Skills & Qualifications: Minimum 2 years of industry or academic experience in AI/ML. Strong knowledge of Python and its data science libraries. Hands-on experience with machine learning algorithms, deep learning, and model deployment. Familiarity with tools such as Jupyter Notebook, Google Colab, TensorFlow, Keras, PyTorch. Experience in training or mentoring students/professionals in AI/ML. Excellent communication, presentation, and interpersonal skills. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. #AITrainer #MLTrainer #DataScienceTrainer #PythonTrainer #ArtificialIntelligence #MachineLearning #HiringNow #JobOpening #TrainerJobs #TechJobs #AIJobs #MLJobs #ImmediateJoiner Job Type: Full-time Pay: ₹25,706.34 - ₹50,082.75 per month Benefits: Cell phone reimbursement Commuter assistance Flexible schedule Leave encashment Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: AI/ML: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

We are hiring Python Developer wit AI Key Responsibilities: ● Utilize Python to build and sustain software applications with a strong focus on AI and machine learning. ● Ensure performance, usability, and scalability in AI applications by leveraging advanced Python techniques. ● Identify and resolve issues to maintain low latency and high availability in AI systems. ● Participate in and conduct code reviews, providing constructive feedback on software design and architecture. ● Work with cross-functional teams to define project requirements and scope, ensuring alignment with AI objectives. ● Apply your expertise in AI libraries and frameworks like langchain, openai, llamaIndex, Pandas, Numpy, or similar tools. ● Work with Large Language Models such as GPT-4, Llama and Vector databases like Pinecone, chromadb, FAISS. ● Integrate Python applications with databases, ensuring efficient data storage and retrieval. ● Utilize Amazon Web Services (AWS) for deploying and managing cloud-based AI applications. ● Utilize robust analytical and problem-solving abilities to tackle complex AI challenges. ● Exhibit excellent communication and teamwork skills to collaborate effectively within the team and with stakeholders Key Requirements: ● Degree in Computer Science, Engineering, or a related field. ● Minimum 6 years of relevant experience is a must. ● Proven experience as a Python Developer, with a focus on AI and machine learning projects. ● Strong knowledge of Django, Flask, or similar Python frameworks, with an emphasis on AI integration. ● Proficient in integrating Python applications with databases. ● Experience with Amazon Web Services (AWS) for cloud-based solutions. ● Familiarity with large language model (LLM) frameworks for AI development. ● Familiarity in concepts such as data chunking, embedding, and various similarity search approaches like cosine similarity.

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: • Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies • Driving the technical discussions with clients along with Project Managers. • Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team • Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. • Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. • Mentoring and coaching junior Python/AI/ML engineers. • Sharing knowledge through knowledge-sharing technical presentations. • Implement new Python/AI features with high quality coding standards. Must-To Have: • B.Tech/B.E. in computer science, IT, Data Science, ML or related field. • Strong proficiency in Python programming language. • Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. • Proficient in Debugging and Exception Handling • Professional experience in developing and operating AI systems in production. • Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) • Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. • Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. • Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. • Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). • Experience in working in Agile methodology Good-To Have: • A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. • Python framework (Django/Flask/Fast API) & API integration. • AI/ML/DL/MLOops certification done by AWS. • Experience with OpenAI API. • Good in Japanese Language

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Experience level: 8 years to 13 years Base locations: Bangalore and Chennai Mode of work: Remote Description: We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will have experience with FastAPI, PostgreSQL, and AWS microservices. Familiarity with CI/CD processes, GitHub, Docker, and Poetry is a plus. Responsibilities: Develop and maintain web applications using Python and FastAPI. Solid understanding of Python class structure and object-oriented programming (OOP) principles. Design and manage PostgreSQL databases. Implement and manage AWS microservices including Lambda, ECS, EKS, and RDS. Collaborate with the team to design and implement CI/CD pipelines using GitHub and Docker. Utilize Poetry for dependency management and packaging. Work closely with cross-functional teams to ensure seamless integration and delivery of projects. Participate in team meetings and contribute to project planning and decision-making. Experience with Python libraries and tools such as NumPy, Pandas, Psycopg, or SQLAlchemy is a plus. Requirements: Proven experience as a Python Developer. Strong knowledge of FastAPI. Experience with PostgreSQL databases. Hands-on experience with AWS microservices (Lambda, ECS, EKS, RDS). Familiarity with CI/CD processes and tools (GitHub, Docker). Knowledge of Poetry is a plus. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication skills and a collaborative mindset.

Location: Cyber Towers, Hyderabad & Vijayawada 🏢 Company: Datavalley India Private Limited 📅 Type: Full-Time (Immediate Joiner) 🎓 Education: B.Tech in Computer Science, Data Science, Artificial Intelligence, or related branches 🧪 Experience: 1 - 5 Years About Datavalley.ai: Datavalley.ai is a forward-thinking AI company revolutionizing industries through advanced Machine Learning and Deep Learning solutions. Based in Hyderabad’s tech core, Cyber Towers, we engineer scalable AI systems that transform raw data into powerful business intelligence. At Datavalley.ai, we train fresh minds into AI professionals who build with impact. Roles & Responsibilities: Design and implement Machine Learning and Deep Learning algorithms. Work on data preprocessing, feature engineering, and model evaluation. Build and deploy models using: - Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, SVM, K-Means, PCA - Deep Learning: ANN, CNN, RNN, LSTM, Transfer Learning (ResNet, VGG, BERT) - AI Applications: NLP, Computer Vision, Recommendation Systems Use Python and tools like Scikit-learn, TensorFlow, Keras, PyTorch. Collaborate with teams to deploy models using Flask, FastAPI, Streamlit. Skills Required: Strong programming skills in Python Experience with NumPy, Pandas, Matplotlib, Seaborn Knowledge of Scikit-learn, TensorFlow, Keras, PyTorch Understanding of model evaluation metrics (Accuracy, Precision, Recall, F1-score) Familiarity with SQL, basic knowledge of NoSQL (MongoDB) Comfortable with Jupyter/Colab, Git, and version control Basic exposure to Flask/FastAPI for deployment Qualifications: B.Tech in Computer Science, AI & ML, Data Science, or related disciplines Strong foundation in algorithms, mathematics, and statistics Ability to build, train, and evaluate ML/DL models Project or internship in AI/ML is preferred 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ]

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

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies Driving the technical discussions with clients along with Project Managers. Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. Mentoring and coaching junior Python/AI/ML engineers. Sharing knowledge through knowledge-sharing technical presentations. Implement new Python/AI features with high quality coding standards. Must-To Have: B.Tech/B.E. in computer science, IT, Data Science, ML or related field. Strong proficiency in Python programming language. Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. Proficient in Debugging and Exception Handling Professional experience in developing and operating AI systems in production. Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). Experience in working in Agile methodology Good-To Have: A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Python framework (Django/Flask/Fast API) & API integration. AI/ML/DL/MLOops certification done by AWS. Experience with OpenAI API. Good in Japanese Language Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Work Location: In person Expected Start Date: 14/08/2025

Key Responsibilities: Develop and deploy machine learning and deep learning models Work on NLP, computer vision, or recommendation systems Optimize models for performance and scalability Stay updated with the latest AI research and trends Skills We’re Looking For: Strong Python programming skills Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Solid understanding of data preprocessing, model evaluation, and LOps Hands-on with tools like Pandas, NumPy, OpenCV, NLTK/spaCy Exposure to cloud platforms (AWS, GCP, Azure) is a plus Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Palarivattom, Kochi, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 2 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025