63 Seaborn Jobs

Join our team to develop and maintain trading algorithms using Python and Pandas. No prior finance experience needed—just strong Python skills, eagerness to learn, and a growth mindset. Training in options and strategies will be provided.

About Norwin technologies Norwin Technologies is part of Accscient Group which has 17 companies as part of the group, we are 20 years old US based IT Consulting and Services company that helps clients deliver technology and operational excellence specializing in IT Infrastructure. Norwin Technologies was founded in 2003. We are headquartered in Boston, and now operate with offices located in four countries (USA, India, Canada, and Mexico). Norwin has currently 700+ professionals working across these countries. In India we have offices in Bangalore, Hyderabad, Chennai and Pune and employees 150 technical professionals in India We work with some of the leading brands in the technology industry such as Dell Technologies, VMware, Ahead partnering with them to deliver IT infrastructure projects ranging from remote deployment, migrations, upgrade and operations of technologies both in Data Centres and Cloud. Why Norwin Technologies? We are a strategic partner to companies like Dell, VmWare, which means you will get opportunity to work on same projects as Dell or VmWare employees unlike at Indian services companies, the likes of Wipro, TCS, Infy etc. which work largely on support projects. So as a Norwin employee you get to upgrade your technical skills. We are very focused on developing the skills of our technical talent through training, certification, and mentorship. We are agile and fast paced organization we aim to grow to 3 times our existing headcount within next 12 months with a focus on employee development and well-being with provides an opportunity to grow in their careers. All of our employees have experience of working in large and leading MNC. We are also a Great Place to Work certified company. Job Title: Smart Python Programmer (2.5+ Years Experience) Location: 5 Days Office Employment Type: Full-Time About the Role: Were looking for smart, high-agency Python programmers with a solid understanding of modern AI tooling and programming workflows. This role isn't about checking boxes or having built a specific kind of AI pipeline it's about your ability to leverage the Python ecosystem and AI tools to build smart solutions faster and better . If you're someone who figures things out quickly, enjoys working with cutting-edge AI tooling, and is always finding smarter ways to code this is the place for you. What You’ll Work On: Building intelligent and scalable systems using Python and modern libraries Designing and integrating data ingestion pipelines for AI/ML workflows Parsing, chunking, embeddings, storage, retrieval (dense/hybrid search, etc.) Using and combining libraries and tools like: pandas, numpy, scipy, matplotlib, seaborn spacy, beautifulsoup, scikit-learn, keras, tensorflow, pytorch, etc. Applying prompt engineering frameworks such as COSTAR, CARE, RACE, RISE , etc. Working with AI coding accelerators: Replit, Cursor, Codeium, Copilot , and more Rapid prototyping and iterating on AI-enhanced software products What We’re Really Looking For: Smart coders who learn fast and ship faster People who leverage AI tools effectively to increase velocity Deep comfort with the Python ecosystem — you know what to use and when Curiosity and the drive to constantly improve your coding stack and speed Requirements: 2.5+ years of professional experience in Python programming Strong experience with data manipulation, ML libraries, and model integration Experience building or integrating data ingestion pipelines (text-centric focus is a plus) Solid grasp of prompt engineering concepts and frameworks Comfort using AI-enhanced development tools to optimize workflows Bonus Points: Exposure to vector databases and retrieval methods (e.g., FAISS, Pinecone) Experience with LLM applications and prompt-tuning Open-source contributions or cool personal projects Reference Links: www.norwintechnologies.com www.accscient.com Regards, Ipshita Saha Talent Acquisition Specialist Norwin Technologies IPSHITA SAHA | LinkedIn

: In Scope of Position based Promotions (INTERNAL only) Job TitleCapital & Liquidity Management Analyst LocationMumbai, India Corporate TitleAnalyst Role Description Group Capital Management plays a central role in the execution of DBs strategy. While Group Capital Management manages DB Groups solvency ratios (CET 1, T1, Total capital ratio, leverage ratio, MREL/TLAC ratios, ECA ratio) together with business divisions and other infrastructure functions, EMEA Treasury manages in addition to the solvency ratios of DBs EMEA entities also the liquidity ratios and Treasury Pool activities. Thereby, EMEA Treasury links into DB Groups strategy and manages execution on a local level. Treasury Treasury at Deutsche Bank is responsible for the sourcing, management and optimization of liquidity and capital to deliver high value risk management decisions. This is underpinned by a best-in-class integrated and consistent Treasury risk framework, which enables Treasury to clearly identify the Banks resource demands, transparently set incentives by allocating resource costs to businesses and manage to evolving regulation. Treasurys fiduciary mandate, which encompasses the Banks funding pools, Asset and liability management (ALM) and fiduciary buffer management, supports businesses in delivering their strategic targets at global and local level. Further Treasury manages the optimization of all financial resources through all lenses to implement the groups strategic objective and maximize long term return on average tangible shareholders equity (RoTE). The current role is part of the Treasury Office in DBC Mumbai. The role requires interactions with all key hubs i.e. London, New York, Frankfurt and Singapore. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The core deliverables for this role are Write code and implement solution based on specifications. Update, design and implement changes to existing software architecture. Build complex enhancements and resolve bugs. Build and execute unit tests and unit plans. Implementation tasks are varied and complex needing independent judgment. Build a technology solution which is sustainable, repeatable, agile. Align with business and gain understanding of different treasury functions. Your skills and experience Must have core capabilities of strong development experience in Python and Oracle based application Strong in Algorithm, Data Structures and SQL Some experience with Integration/build/testing tools Good to have working knowledge of visualization libraries like plotly, matplotlib, seaborn etc. Exposure to webservice, webserver/application server-based development would be added advantage but not mandatory A basic understanding of Balance sheet and Treasury concepts is desirable but not mandatory Effective organizational and interpersonal skills Self-starting willingness to get things done A highly motivated team player with strong technical background and good communication skills Urgency Prioritize based on need of hour An aptitude to learn new tools and technologies Engineering graduate / BS or MS degree or equivalent experience relevant to functional area 3 + years software engineering or related experience is a must How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases: SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Primary Skill Python (DSA) Exploratory data analysis using pandas,numpy, Seaborn, Matplotlib TensorFlow, PyTorch, Scikit-learn Large-language models, RAG, MCP , Agentic AI Azure Cognitive services /Azure AI found . Vertex- AI Github Agile Problem solving skills System design thinking Observability Mandatory Skills: Generative AI. Experience5-8 Years.

Were looking for a Python-based AI/ML Developer who brings solid hands-on experience in building machine learning models and deploying them into scalable, production-ready APIs using FastAPI or Django. The ideal candidate is both analytical and implementation-savvy, capable of transforming models into live services and integrating them with real-world systems. Key Responsibilities Design, train, and evaluate machine learning models (classification, regression, clustering, etc.) Build and deploy scalable REST APIs for model serving using FastAPI or Django Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems Develop clean, modular, and optimized Python code using best practices Perform data preprocessing, feature engineering, and data visualization using Pandas , NumPy , Matplotlib , and Seaborn Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker) Manage API security with JWT and OAuth mechanisms Participate in Agile development with code reviews, Git workflows, CI/CD pipelines Must-Have Skills Python & Development Proficient in Python 3.x, OOP, and clean code principles Experience with Git, Docker, debugging, unit testing AI/ML Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling Hands-on with Scikit-learn , XGBoost , LightGBM Web Frameworks FastAPI : API routes, async programming, Pydantic, JWT Django : REST Framework, ORM, Admin panel, Middleware DevOps & Cloud Experience with containerized deployment using Docker Exposure to cloud platforms: AWS , Azure , or GCP CI/CD with GitHub Actions, Jenkins, or GitLab CI Databases SQL: PostgreSQL, MySQL NoSQL: MongoDB, Redis ORM: Django ORM, SQLAlchemy Bonus/Nice-to-Have Skills Model tracking/versioning tools (MLflow, DVC) Knowledge of LLMs , transformers, vector DBs (Pinecone, Faiss) Airflow, Prefect, or other workflow automation tools Basic frontend skills (HTML, JavaScript, React) Requirements Education : B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields Experience : 36 years of industry experience in ML development and backend API integration Strong communication skills and ability to work with cross-functional teams Role & responsibilities

As an AI Engineering Intern , you will work closely with our AI research and development team to build, test, and deploy machine learning models and AI solutions. You will gain hands-on experience with various AI techniques and technologies, helping to develop and improve AI-powered systems. Responsibilities: Assist in the development and optimization of machine learning models and algorithms. Support data preprocessing, cleaning, and analysis for AI-related projects. Collaborate with the AI team to implement and integrate AI solutions into production systems. Contribute to the design and development of AI systems, including NLP, computer vision, or other domains based on project needs. Help in writing clean, scalable, and well-documented code for AI applications. Participate in the testing and validation of AI models, and identify areas for improvement. Stay up-to-date with the latest advancements in AI and machine learning technologies. Qualifications: Currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field (preferably at the undergraduate or graduate level). Solid understanding of machine learning concepts and algorithms (e.g., supervised learning, unsupervised learning, deep learning, etc.). Familiarity with programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus. Strong problem-solving skills and analytical thinking. Ability to work independently as well as part of a collaborative team. Good communication skills, with the ability to present ideas and technical concepts clearly. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with data wrangling and data visualization tools (e.g., Pandas, Matplotlib, Seaborn). Knowledge of advanced AI topics such as reinforcement learning, generative models, or NLP. Exposure to version control systems (e.g., Git). Benefits: Mentorship from experienced AI engineers. Hands-on experience with state-of-the-art AI technologies. Opportunity to contribute to real-world AI projects.

Job Summary. ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure. by integrating digitization and technology throughout the lifecycle of infrastructure projects.. About The Role. As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your. responsibilities will include designing and implementing advanced machine learning models, analyzing. complex datasets, and delivering actionable insights to various stakeholders. You will work closely with. cross-functional teams to tackle challenging business problems and drive innovation using advanced. analytics techniques.. Responsibilities. Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.. Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.. Design and implement algorithms for predictive and causal modeling.. Evaluate and fine-tune model performance.. Communicate recommendations based on insights to both technical and non-technical stakeholders.. Requirements. A Ph.D. in computer science, statistics, or a related field. 5+ years of experience in data science. Experience in geospatial data science is an added advantage. Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, and Seaborn); experience with GeoPandas and Shapely is an added advantage. Strong communication and presentation skills. Show more Show less

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

Tasks and Responsibilities: Design and maintain high-quality technical solutions for Risk and Marketing data while collaborating with stakeholders to address emerging business challenges. Identify and resolve data/process issues, anticipate trends and highlight the shortcomings in the data processing steps Develop SAS codes using advanced SAS to execute marketing and risk fraud strategies Develop SQL scripts to be executed during production deployments on SQL server Develop Python notebooks for User Acceptance Testing and System Integration Testing Day to day task include creating python notebooks for data validations, data analysis and data visualization, creating SAS jobs using advanced SAS concepts, creating automated SQL scripts Create python scripts to automate manual data processing tasks, combine multiple code snippets into single python notebooks Required Skills and Qualifications: 3-5 years of experience as SAS, SQL and Python developer with strong hands on experience Good hands-on experience in SAS programming. SAS Certified associates preferred. In-depth knowledge of Python software development, including frameworks, tools, and systems (NumPy, Pandas, SciPy, PyTorch, etc.) Hands on experience in writing SQL queries to fetch data from Microsoft SQL Server Excellent analytical and problem-solving skills Excellent communication skills and client management skills Good to have experience in base SAS/Intermediate SAS

Role & responsibilities Required Skills: Strong Python programming experience, especially with pandas, numpy, matplotlib, seaborn. Experience in building monitoring dashboards or visualizations (e.g., Plotly, Dash, Streamlit). Understanding of ML model evaluation metrics (e.g., precision, recall, drift, AUC). Familiarity with model risk management concepts or frameworks. Ability to write clean, well-documented code for reproducibility and audit-readiness. Comfortable interpreting and working with structured model output and log files. Excellent attention to detail and communication skills. Should have Experience in Banking Domain Preferred candidate profile Notice Period: Immediate to 30 Days

We are seeking a skilled Python Developer to join our team and work on training data models, performing analysis, and generating predictions . The ideal candidate will have experience with data science workflows and be comfortable using modern data tools and frameworks. Role & responsibilities Design, build, and maintain data pipelines to collect, clean, and prepare data from diverse sources (websites, APIs, AI prompts, etc.). Develop and train machine learning models for tasks such as classification, regression, and clustering. Apply Python libraries to perform exploratory data analysis and generate actionable predictions. Communicate findings and model insights clearly to both technical and non-technical stakeholders. Continuously evaluate and refine models for performance, accuracy, and scalability. Here are some specific examples of tasks that this role might perform: Collect and preprocess large datasets, including handling missing values, outliers, and inconsistencies. Select suitable algorithms based on the problem context and train models using structured and unstructured data. Validate model performance using best practices (e.g., train/test splits, cross-validation) and fine-tune hyperparameters. Use trained models to infer predictions on real-time or batch data. Create clear visualizations and reports to present analysis and model results. Here are some of the related tools, which knowledge is desired for this role : Python : Strong programming skills and experience in data-centric development. NumPy & Pandas : For efficient data manipulation and preprocessing. Scikit-learn : For implementing and tuning machine learning models. Matplotlib & Seaborn : For creating insightful visualizations. Jupyter Notebooks : For interactive experimentation and documentation. Docker & Kubernetes (preferred): For containerizing and deploying machine learning models in production environments. Preferred candidate profile Strong problem-solving and analytical thinking skills. Excellent written and verbal communication skills. Ability to work independently and collaborate within cross-functional teams. A proactive mindset with a commitment to delivering high-quality, production-ready solutions.

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Join our AI team as a Generative AI Engineer! Work on LLMs, prompt engineering, and model fine-tuning. Ideal for freshers or those with up to 2 years of experience in Python, ML, and deep learning. Passion for AI is a must!

Experience: 1yr- 5yrs Salary: As per company norms Location: Chinchwad, Pune - Maharashtra Joining: Immediate Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Power BI, Advance Excel, SQL, Machine learning , Artificial Intelligence, Python Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements.. (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on apardeshi@sevenmentor.com OR contact on 8806178325

Python Developer Location: Bengaluru, Karnataka, India Experience Level: 35 Years Employment Type: Full-Time Role Overview We are seeking a skilled Python Developer with a strong background in data manipulation and analysis using NumPy and Pandas, coupled with proficiency in SQL. The ideal candidate will have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Key Responsibilities Develop and maintain robust data pipelines and ETL processes using Python, NumPy, and Pandas. Write efficient SQL queries for data extraction, transformation, and loading. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data validation and quality checks to ensure data integrity. Optimize existing codebases for performance and scalability. Document processes and maintain clear records of data workflows. Required Qualifications Bachelors degree in Computer Science, Engineering, or a related field. 25 years of professional experience in Python development. Proficiency in NumPy and Pandas for data manipulation and analysis. Strong command of SQL and experience with relational databases like MySQL, PostgreSQL, or SQL Server. Familiarity with version control systems, particularly Git. Experience with data visualization tools and libraries is a plus. Preferred Skills Experience with data visualization libraries such as Matplotlib or Seaborn. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of big data tools and frameworks like Spark or Hadoop. Understanding of machine learning concepts and libraries. Why Join Enterprise Minds Enterprise Minds is a forward-thinking technology consulting firm dedicated to delivering next-generation solutions. By joining our team, you'll work on impactful projects, collaborate with industry experts, and contribute to innovative solutions that drive business transformation.

Dear Candidate, We are hiring a Python Developer to build scalable backend systems, data pipelines, and automation tools. This role requires strong expertise in Python frameworks and a deep understanding of software engineering principles. Key Responsibilities: Develop backend services, APIs, and automation scripts using Python. Work with frameworks like Django, Flask, or FastAPI. Collaborate with DevOps and data teams for end-to-end solution delivery. Write clean, testable, and efficient code. Troubleshoot and debug applications in production environments. Required Skills & Qualifications: Proficient in Python 3.x , OOP, and design patterns Experience with Django, Flask, FastAPI, Celery Knowledge of REST APIs, SQL/NoSQL databases (PostgreSQL, MongoDB) Familiar with Docker, Git, CI/CD, and cloud platforms (AWS/GCP/Azure) Experience in data processing, scripting, or automation is a plus Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Job role Job Requirements Personality traits To work on heavy data extraction, generation of reports, visualising data and putting analysis in discussed formatSQL & Advanced python knowledge with proven track record in python scripting using Numpy, pandas, seaborn, matplotlib, scikit learn etc Candidate must have excellent organizational skills, be level-headed, have good interpersonal skills Model building like classification, regression, recommendation systems etc SAS EG/Eminer knowledge is a plusNumerical skills - will need to acquire data and use it to target selected groups, as well as analyse the success or otherwise of campaigns The role holder will be responsible for data support, segmentation/scorecards, analytics and customer insights Past experience with deployment on cloud systems & API integration is preferredAt least 2-3 years of experience with data handling roles Must be excellent with Data visualisation He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind Should have an active interest in data analysisHighly logical individuals with adaptable trait towards new technologiesAdhere to documented process and compliance requirements, assisting seniors on diversified projectsMotivated and determined candidate with a zeal to handle responsibilities and take initiativesStrong communication skills to effective interaction with business stakeholders

Location: Pune Job Type: Full Time Experience: 5 to 10 years Company: Web Minds IT Solution Job Summary: We are seeking a highly skilled and experienced Senior Python Backend & Machine Learning Developer to play a pivotal role in designing, developing, and deploying robust backend services and integrating advanced machine learning capabilities into our products. The ideal candidate will possess a strong command of Python, a deep understanding of backend architecture, and practical experience in building, deploying, and maintaining machine learning models in production environments Key Responsibilities: Design, develop, and maintain highly scalable, reliable, and secure backend APIs and services using Python frameworks (e.g., Django, Flask, FastAPI). Work with various databases (SQL, NoSQL) to design efficient data models and ensure data integrity. Implement robust authentication, authorization, and security measures for backend services. Optimize applications for maximum speed and scalability, ensuring low latency and high throughput. Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes. Implement and manage CI/CD pipelines to streamline software delivery. Develop and deploy RESTful APIs for machine learning models, enabling seamless integration with frontend and other backend systems. Build and maintain robust data pipelines (ETL/ELT) for ML model training, inference, and monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement and manage MLOps practices, including model versioning, monitoring (for drift, performance), retraining pipelines, and deployment automation. Contribute to the selection and integration of appropriate ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Stay updated with the latest trends and advancements in data science, ML, and AI Key Skills Required: Bachelor's degree in Computer Science, Information Technology, or a related field. Familiarity with Python-based frameworks like Flask , FastAPI , or Django Hands-on with deep learning frameworks such as TensorFlow , Keras , or PyTorch Understanding of machine learning algorithms , including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost) Strong skills in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB) Proficiency in data visualization tools : Matplotlib, Seaborn, Plotly, Power BI , or Tableau Extensive experience with Docker and Kubernetes . Experience working with APIs , web services, and application integration Solid understanding of CI/CD principles and tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud . Excellent problem-solving and troubleshooting skills. Practical experience with ML libraries: Scikit-learn , XGBoost , LightGBM , etc. Proficiency in data manipulation and analysis using NumPy , Pandas , and Matplotlib/Seaborn Strong communication and teamwork skills.

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Required Candidate profile Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Familiarity with front-end technologies (like JavaScript and HTML5) Team spirit Good problem-solving skills Perks and benefits Free meals and snacks. Bonus. Vision insurance.

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive ECU Software Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As Python Developer, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. Roles & Responsibilities:Design and develop Python scripts to process and analyze CAN bus logs generated from instrumented vehicle tests. Utilize libraries like pandas, NumPy, and SciPy to manipulate, clean, and transform automotive datasets. Implement data visualization techniques using libraries like Matplotlib, Seaborn, etc. to create informative dashboards for engineers and analysts. Collaborate with engineers to understand data requirements, define analysis goals, and interpret results. Professional & Technical Skills: Proficiency in Python for building web applications, REST APIs, and automation tasks. Developed Python scripts to extract, clean, and transform CAN bus data from automotive test logs. Developed interactive dashboards using Python libraries like Dash etc. to visualize and analyze automotive test data. Understanding of AWS cloud platform and how to design algorithms that work efficiently in cloud environments.Experience creating dashboards in Tableau. Additional Information:The candidate should have a minimum of 5 years of experience in Python for building web applications and automation tasks.This position is based at our Hyderabad office.A 15 years full time education is required (Bachelor of Engineering in Electronics/Computer Science, or any related stream) Qualification 15 years full time education