681 Matplotlib Jobs - Page 4

Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory). Show more Show less

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

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

AI Engineer Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Master’s or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Speed to outcome Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien Show more Show less

Role : Python Engineer Overview of the position: We are looking for a proactive and analytical Python Automation Engineer & Data Modeler to join our team. This individual will be responsible for automating existing manual processes, supporting ongoing automation workflows, and developing simple machine learning models. The ideal candidate will have strong problem-solving and troubleshooting skills , a good understanding of Python , and a passion for automation and data analysis. Requirements : Educational Qualification : BE/ B.Tech/MCA or equivalent degree in Computer Science or BE / B.Tech (Artificial Intelligence and Machine Learning) or M.Tech in Data Science (AI & ML) or Post Graduate Program in Artificial Intelligence and Machine Learning Experience : 0-2 years of hands-on experience in Python programming with a focus on automation and data modeling . Skills : Strong knowledge of Python, with expertise in libraries like pandas , NumPy , scikit-learn , and TensorFlow . Experience in automating processes using Python-based frameworks and tools (e.g., Airflow , cron jobs , task schedulers ). Good understanding of algorithms and data structures. Analytical and troubleshooting skills, with the ability to identify and resolve issues in automated systems. Strong problem-solving ability and a detail-oriented approach. Familiarity with data visualization tools like Matplotlib, Seaborn is a plus Key Responsibilities: Algorithm Development & Process Automation : Design, develop, and implement Python-based algorithms to automate manual processes across various departments. Identify automation opportunities, optimize existing workflows, and implement solutions that streamline operations. Support Existing Automation : Provide ongoing support and maintenance for the existing automation pipelines to ensure they run efficiently and without interruptions. Troubleshoot and debug any issues related to automated processes and implement fixes or improvements. Model Building & Deployment : Build, test, and deploy simple predictive models or algorithms using machine learning libraries like scikit-learn or TensorFlow . Ensure the models are scalable and integrate seamlessly into the automated processes. Data Analysis & Processing : Clean, preprocess, and analyze large datasets to support automation and model development. Ensure data integrity and accuracy for reliable model training and process execution. Collaboration & Documentation : Collaborate with cross-functional teams to understand requirements and deliver optimal technical solutions. Document the algorithms, automation workflows, and models to ensure maintainability and knowledge sharing across teams. Location: Chennai Employment Type: Internship Role Category: Software Engineer About the Company: Matrimony.com Ltd is India's first pure play Wed-Tech Company to get listed on BSE and NSE. Its flagship brand Bharat Matrimony is the largest and the Most Trusted Matrimony Brand (as per the Brand Trust Report 2014). Over 3000 associates serve close to 6 million members. The company provides both matchmaking and wedding related services and is also complemented by 100+ company-owned retail outlets. Its flagship matchmaking services are Bharat Matrimony, Elite Matrimony and Community Matrimony. Jodii, a game changing vernacular matrimony service for common people was launched in 2022. With Jodii, Matrimony.com serves all facets of people on the economic spectrum – ranging from the HNI to the commoner. With a strong leadership in matchmaking, the company has fast expanded into the $55 billion wedding services Industry: Wedding Bazaar – the Largest Wedding Services Provider and Mandap.com – the Largest Online Wedding Venues Platform. Matrimony has also forayed into international markets with its UAE operations completing over 4 years and Bangladesh operations commencing in year 2021. The goal is to build a billion-dollar revenue company and a long-lasting institution with a legacy for the generations to come. Location: Chennai Employment Type: Internship Role Category: Software Engineer Location : Chennai Show more Show less

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.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description : True North Marine is hiring a Data Scientist to develop predictive models using voyage data and marine engineering insights. You'll be part of a team working on real-world challenges in vessel performance and maritime optimization. What You’ll Do : Build scalable ML models Visualize and analyze maritime data Integrate engineering principles into data science workflows Collaborate on dashboards and UI development Skills Required : Python, ML/NN frameworks Data Visualization (matplotlib, Plotly, etc.) Marine engineering knowledge preferred Strong communication and teamwork Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Monday to Friday Education: Bachelor's (Required) Experience: Python, ML/NN frameworks: 2 years (Required) Data Visualization (matplotlib, Plotly, etc.): 1 year (Preferred) Language: English (Preferred) Work Location: In person

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹80,000.00 per month Education: Bachelor's (Preferred) Experience: Machine learning: 4 years (Preferred) Work Location: In person

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

SUMMARY We are seeking a Machine Learning Analyst with a strong foundation in Engineering or a related Quantitative Sciences discipline. While prior experience in Machine Learning is not mandatory, candidates with exposure to Machine Learning and Deep Learning (if any) are expected to demonstrate a rigorous understanding of the concepts they are familiar with. The ideal candidate must be a quick learner and demonstrate strong analytical skills, clear thinking and structured problem-solving, strong quantitative aptitude, a willingness to learn, high self-motivation, and a diligent work ethic. ABOUT US Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellow PRE-REQUISITES ML Analyst position is open to all with prior training in Engineering or any related Quantitative Sciences discipline No prior experience in Machine Learning or Deep Learning is required Candidates with exposure to ML/DL (if any) are expected to have a clear and rigorous understanding of the concepts they are familiar with Strong skills in data handling, and logical problem-solving Demonstrates a quick learning ability, and a strong work ethic Willingness to take on any task, learn new tools, and adapt to evolving project needs ROLES & RESPONSIBILITIES Work closely with data to support the development of ML and DL solutions Conduct experiments under guidance and report results reliably Learn to derive insights from experimental outcomes and determine appropriate next steps Prepare, curate, and analyse datasets for training and evaluation Monitor incoming data streams and perform regular quality checks Assist in training and inference of ML models, including deep learning architectures Contribute to well-documented and maintainable codebases Document work clearly and consistently with high standards Communicate and present experimental findings and results clearly within the team Learn and apply best practices across ML development, coding, documentation, and experimentation Collaborate effectively with project teams to meet milestones and deliverables Proactively seek help and feedback when needed Work efficiently with tools like Unix, VS Code, GitHub, and Docker Develop proficiency with common ML tools and libraries such as Pandas, Scikit-learn, PyTorch, Excel (pivot tables), Matplotlib, Weights & Biases DESIRED COMPETENSIES Demonstrates curiosity, humility, and a strong motivation to learn and grow Takes full ownership of tasks; highly diligent, detail-oriented, and accountable Willing to engage in all types of work from data cleaning and exploration to debugging and tooling Comfortable sitting with raw data to explore, understand and derive insights, and not just focused on modelling Proactively seeks guidance and independently builds knowledge when needed Approaches every task with a quality-first mindset; no task is considered beneath them Identifies recurring patterns and abstracts them into reusable, generalisable workflows Contributes across the entire ML lifecycle including data preparation, experimentation, and analysis Selects and applies appropriate tools; builds efficient, reliable, and repeatable processes Maintains a high standard of error-free work; reviews and validates work thoroughly Collaborates effectively with cross-functional teams Communicates clearly and constructively, with an emphasis on precision and clarity We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

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

About us We are a global technology company, driving energy innovation for a balanced planet.​ Together, we create amazing technology that unlocks access to energy for the benefit of all.​ Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse group of experts in our industry, anywhere around the globe. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. About SLB Technical Services India (STS-I): SLB is committed to moving farther and faster in facilitating the world's energy needs today and forging the road ahead for the energy transition. STSI’s determination to transformation is the start of a journey towards a culture of continuous performance improvement. Over the years STSI has also developed key expertise and support roles in higher scale work both in business vertical (within a PG) and horizontal (across PGs). To position itself as a critical support center for EMS capable of strong value addition while also being recognized as having their own excellence in key services, STSI has identified the need to attain a recognition as a Center of Excellence (CoE). For more details you may visit our Company’s Official site: www.slb.com Job Description: · The core responsibility of a TLM Data Scientist is to develop Python algorithms for determining the health state of machinery equipment to improve their operational reliability and efficiency. · The candidate will collaborate closely with engineer SMEs to understand equipment physics and develop sustainable, industrial-grade AI/analytics solutions. · The role involves analyzing large time-series data from sensor measurements combined with other operational data in cloud as well as in local system. · There will be a strong emphasis on applying engineering domain knowledge in developing algorithms and extracting features out of raw data to build diagnostic and prognostic models. Skills Required: Coding Skills: Extensive experience in Python algorithm programming or data science (not in app development like Flask,Pyramid or Django). Proficient in using Python libraries like Pandas, Numpy, Scikit-learn, Matplotlib, and Bokeh Experience with Git basics Basic SQL queries Fundamental Technical Skills: 1. Understanding of elementary physics and mathematics (e.g. acceleration, force, vector arithmetic) 2. Understanding of fundamental probability and statistics (distributions, standard dev, percentiles, histograms, sampling) Qualifications and Experience: Experience Range: - 3-5 Years. A Bachelor degree in any science or engineering major with courses in physics, mathematics and numerical programming. A minimum GPA of 3.5/4.0 scale A Master of Science degree in data science, analytics, or engineering with a thesis or research projects involving hands-on algorithm development, statistical analysis, and machine learning using Python. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. Show more Show less

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of Lead AI Engineer to Coupa: XXXX What you will do: Collaborate closely with product managers, engineers, and cross-functional stakeholders to define metrics and outcomes for AI-driven product features and capabilities Design, develop, and deploy sophisticated AI models, agents, and intelligent assistants leveraging Large Language Models (LLMs), including both language processing and advanced reasoning tasks Engineer robust, scalable, and reliable prompt-based solutions to effectively integrate LLMs into production-grade SaaS applications Implement experimentation frameworks, conduct rigorous evaluations, and iterate rapidly based on user feedback and data-driven insights Establish automated monitoring and quality assurance mechanisms for continuous evaluation and enhancement of model performance Provide strategic vision and technical leadership to navigate evolving trends and emerging methodologies within AI, particularly focusing on leveraging generative AI capabilities What you will bring to Coupa: Strong analytical and problem-solving skills focused on creating impactful AI-driven product experiences Proven expertise in Python for developing, deploying, and optimizing complex AI models and pipelines Extensive experience with Large Language Models (e.g., GPT-4o, Claude, LLaMA), including prompt engineering, fine-tuning, and evaluating performance Solid understanding of various machine learning paradigms (supervised, unsupervised, reinforcement learning) and practical experience deploying these methods at scale Deep knowledge of reasoning frameworks, agent architectures, retrieval-augmented generation (RAG), and related AI techniques Excellent proficiency in modern data architectures and experience with distributed data frameworks (e.g., Spark, Hadoop) Familiarity with cloud infrastructure (AWS, Azure, GCP) for deploying scalable AI/ML services Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders A strong drive to stay abreast of cutting-edge AI research and proactively integrate relevant innovations into production systems 5+ years of experience building, deploying, and managing AI/ML models in production environments Educational background in Computer Science, Data Science, Statistics, Mathematics, or related fields, or equivalent professional experience Experience with modern ML and AI development tools (e.g., Hugging Face, LangChain, PyTorch, TensorFlow) and visualization platforms (e.g., Streamlit, D3, Plotly, Matplotlib) Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy. Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

We are looking for an experienced Machine Learning Engineer to join our team. The ideal candidate should have a strong background in developing, implementing, and deploying machine learning models on edge platforms. With at least 5 years of overall experience and at least 3 years of machine learning experience, you will significantly contribute to our projects, driving innovation and delivering high-quality solutions. Responsibilities: ● Design, develop, and deploy machine learning models and algorithms on the edge platforms. ● Perform data analysis and feature engineering to enhance model performance. ● Collaborate with cross-functional teams to integrate ML solutions into existing systems. ● Monitor and maintain deployed models, ensuring optimal performance and reliability. ● Stay current with the latest advancements in machine learning and AI. ● Document processes and best practices for machine learning workflows. ● Troubleshoot and resolve issues related to ML models and data pipelines. Experience & Background Requirement: ● Bachelor's or Master's degree in Engineering or equivalent. ● Minimum of 7+ years of overall experience. ● Minimum of 7 years of machine learning experience. ● Proficiency in programming languages such as Python, C, C++. ● Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis . ● Strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks). ● Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV). ● Knowledge of data preprocessing, feature engineering, and model training/evaluation. ● Experience with data storage and processing technologies (e.g., SQL, JSON, XML). ● Excellent problem-solving and analytical skills. ● Strong communication and collaboration abilities. ● Experience of streaming and GUI development is an advantage. Show more Show less

Job Information Date Opened 06/17/2025 Industry AEC Job Type Permanent Work Experience 1 - 3 Years City Mumbai State/Province Maharashtra Country India Zip/Postal Code 400093 About Us Axium Global (formerly XS CAD), established in 2002, is a UK-based MEP (M&E) and architectural design and BIM Information Technology Enabled Services (ITES) provider with an ISO 9001:2015 and ISO 27001:2022 certified Global Delivery Centre in Mumbai, India. With additional presence in the USA, Australia and UAE, our global reach allows us to provide services to customers with the added benefit of local knowledge and expertise. Axium Global is established as one of the leading pre-construction planning services companies in the UK and India, serving the building services (MEP), retail, homebuilder, architectural and construction sectors with high-quality MEP engineering design and BIM solutions. Job Description We are looking for a motivated and analytical Data Scientist with 2–4 years of experience to join our growing data team. The ideal candidate should be comfortable working with large datasets, building predictive models and generating actionable insights. Experience or familiarity with the AEC industry is a strong plus, as the role involves working on data generated from engineering, construction and design workflows. As a Data Scientist, you will play a key role in turning raw data into insights that support strategic decision-making. You will collaborate with cross-functional teams including software developers and domain experts. Your analytical models and tools will help enhance project performance, reduce risk and drive operational efficiency. Key Roles and Responsibilities: Analyze large datasets to identify trends, patterns and actionable insights Design and implement machine learning and neural network models for predictions, classifications and clustering Collaborate with AEC domain teams to understand data requirements and propose technical solutions Clean, transform, and validate data using SQL, Python Support automation of machine learning (ML) workflows and model reporting pipelines Document data science processes and results for transparency and reproducibility Create dashboards and visualizations using tools like Power BI, Tableau or Plotly Qualifications and Experience Required: BE/BTech/MTech degree in computer science, Data Science, Engineering, Statistics or a related field 2–4 years of hands-on experience in a Data Science or related role Strong programming skills in Python, and proficiency with SQL Experience with data science libraries (e.g pytorch, scikit-learn, pandas, NumPy, TensorFlow, XGBoost) Clarity with the concepts of Object-Oriented Programming (OOPs) Good understanding of statistics, machine learning techniques and data modeling Experience with data visualization tools such as Power BI, Tableau or Matplotlib Familiarity with the AEC industry and tools like Revit, Navisworks, BIM 360 or project scheduling data is a plus Strong communication skills and ability to present data findings to non-technical stakeholders Compensation: The selected candidate will receive competitive compensation and remuneration policies in line with qualifications and experience. Compensation will not be a constraint for the right candidate. What We Offer: A fulfilling working environment that is respectful and ethical A stable and progressive career opportunity State-of-the-art office infrastructure with the latest hardware and software for professional growth In-house, internationally certified training division and innovation team focusing on training and learning the latest tools and trends. Culture of discussing and implementing a planned career growth path with team leaders Transparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing Test and Evaluation team is currently looking for Associate BI Analyst to join their team in Bengaluru, KA. BI Analyst at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: Develop and maintain high-quality Python code for data analysis and data visualization. Utilize Tableau to create interactive and insightful dashboards and reports for data-driven decision-making. Collaborate closely with data scientists and business analysts to understand requirements and translate them into effective software and visualization solutions. Participate in code reviews, ensuring adherence to best practices and standards. Optimize existing algorithms and systems for improved performance and scalability. Contribute to the integration of machine learning models into production systems. Troubleshoot and resolve issues related to data quality, performance, and visualization. Stay abreast of new technologies and methodologies in software development, data science, and business intelligence. Document software developments and maintain software documentation. Prepare data for analysis, including cleansing, conditioning, transforming, handling missing fields, identifying new feature variables, and handling multivariate data. Monitor production and deployment. Prepare decision support visualizations and reports, algorithms, models, dashboards, and/or tools. Support the development of software applications integrated with insights obtained from data science and business analysis activities. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field or higher is required. Minimum 5+ years of professional experience in Python development and Tableau. Position requires hands-on experience in working with SQL, Python, R, Data modeling, and Tableau. Solid understanding of software development principles and lifecycle. Familiarity with data structures, algorithms, system design, and business intelligence concepts. Experience with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Knowledge of version control systems, preferably Git. Strong problem-solving skills and ability to work in a team environment. Excellent verbal and written communication skills. Preferred Qualifications (Desired Skills/Experience): Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solutions Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Proactively seek information and direction to successfully complete the statement of work. Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English, and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work. Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc. Preferred experience in deploying data science solutions on cloud platforms like PCF, GCP, etc Experience in C# Language or ReactJS is a huge plus. Typical Education & Experience: Bachelor or Master degree in Computer Science/ Engineering (Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until Jun. 20, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Show more Show less

Responsibilities Ability to write clean, maintainable, and robust code in Python Understanding and expertise of software engineering concepts and best practices Knowledge of testing frameworks and libraries Experience with analytics (descriptive, predictive, EDA), feature engineer, algorithms, anomaly detection, data quality assessment and python visualization libraries - e.g. matplotlib, seaborn or other Comfortable with notebook and source code development - Jupyter, Pycharm/VScode Hands-on experience of technologies like Python, Spark/Pyspark, Hadoop/MapReduce/HIVE, Pandas etc. Familiarity with query languages and database technologies, CI/CD, testing and validation of data and software Tech stack and activities that you would use and preform on a daily basis : Python Spark (PySpark) Jupyter SQL and No-SQL DBMS Git (as source code versioning and CI/CD) Exploratory Data Analysis (EDA) Imputation Techniques Data Linking / Cleansing Feature Engineering Apache Airflow/ Jenkins scheduling and automation, Github and Github Actions Collaborative - able to build strong relations that enable robust debate, and resolve periodic disagreements regarding priorities. Excellent interpersonal, and communication skills Ability to communicate effectively with technical and non-technical audience Ability to work under pressure with a solid sense for setting priorities Ability to lead technical work with strong sense of ownership Strong command of English language (both verbal and written) Practical and action oriented Compelling communicator Excellent stakeholder management Foster and promote entrepreneurial spirit and curiosity amongst team members Team player Quick learner (ref:hirist.tech) Show more Show less

Job Title : Senior Data Scientist Location : Matrix Tower, Pune, India Experience : 1012 Years Joining : Immediate Joiners Preferred (May Joiners) Mode of Interview : Virtual Drive (Date TBD) Job Summary As a Senior Data Scientist at Emerson, you will analyze large-scale data sets to uncover trends, develop machine learning models, and deliver actionable insights. You will collaborate across teams to design data-driven solutions that support strategic decisions and operational improvements. Key Responsibilities Analyze complex datasets to identify patterns and insights. Design and deploy predictive models and algorithms to solve business challenges. Build dashboards and visualizations for stakeholders. Collaborate with cross-functional teams to align data solutions with business goals. Clean, process, and validate data for quality and accuracy. Present findings, model outcomes, and KPIs to senior leadership. Participate in Agile/Scrum ceremonies and contribute to iterative development. Stay current with advances in AI, ML, and data science trends. Requirements Bachelors degree in Computer Science, Data Science, Statistics, or related field (Masters preferred). 1012 years of total experience with 5+ years in data science/analytics roles. Strong expertise in ML techniques (e.g., CNN, RNN, SVM, Decision Forests). Experience with NLP, NLG, and Large Language Models (e.g., GPT, BERT, PaLM). Proficient in Python or R, with libraries like pandas, NumPy, TensorFlow, PyTorch. Familiar with visualization tools : Tableau, Power BI, Matplotlib, Seaborn. Experience working with SQL and NoSQL (e.g., MongoDB, Cassandra). Solid communication skills to explain technical insights to non-technical teams. Preferred Qualifications Background in engineering domain. Experience with Scaled Agile Framework (SAFe). Certifications from recognized AI/data science programs. Familiarity with Microsoft Azure or other cloud platforms. Strong analytical, troubleshooting, and multitasking abilities. (ref:hirist.tech) Show more Show less

As the member Data Science, this is your opportunity to be part of a next-gen data science team. As a Junior Data Scientist, youll work across business analytics, data engineering, and advanced modelling projects. You will gain hands-on experience in building clean data pipelines, generating user-level insights, and contributing to models that decode complex consumer behaviour. If you're eager to grow at the intersection of data engineering, analytics, and AI, this role is your launchpad. You will influence strategic decisions, pioneer ground breaking technologies, and deliver insights that empower businesses across industries. If youre a visionary who thrives on solving complex challenges and driving transformative change, this role is your canvas to create, inspire, and lead. What Youll Do Learn, Build, and Apply : Support the development of VTIONs behavioral data models through cleaning, transformation, and feature engineering. Assist in the construction and automation of data pipelines with engineering teams. Engage in business analytics projectstranslating behavioral data into marketing and user insights Bridge Data And Business Deliver exploratory analyses, cohort insights, and trend reports to support strategic decisions. Contribute to real-time dashboards and visualizations for internal and client use (Power BI, Tableau, Plotly). Support Innovation Work on classification, clustering, and segmentation models using Python (Scikit-learn, pandas, NumPy). Collaborate & Evolve Partner with data scientists, engineers, and product teams to deliver scalable solutions. Participate in sprint reviews, brainstorms, and post-analysis reviews to drive learning and iteration. Continuously explore new tools, methods, and technologies to elevate your own practice. What Were Looking For Proven Leadership : 5+ years of experience in data science, with at least 3 years leading high-performing teams. Technical Mastery Python (pandas, NumPy, scikit-learn, matplotlib) SQL for data querying Exposure to cloud platforms (AWS, GCP preferred) Bonus : Familiarity with Git, Airflow, dbt, or vector databases Analytics Mindset Ability to interpret business problems into data questions Understanding of basic statistics, experiment design, and metrics interpretation Curiosity And Drive Eagerness to learn in a dynamic, fast-paced environment Strong communication skills and a collaborative spirit Why Join Us Contribute to real-time, high-impact data applications Be mentored by senior leaders in AI, LLMs, and semantic intelligence Build a career path that spans across analytics, engineering, and research Thrive in a culture that values creativity, continuous learning, and ownership (ref:hirist.tech) Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less

Key Responsibilities Data Science Leadership : Utilize in-depth knowledge of data science and data analytics to architect and drive strategic initiatives across departments. Stakeholder Collaboration : Work closely with cross-functional teams to define and implement data strategies aligned with business objectives. Model Development : Design, build, and deploy predictive models and machine learning algorithms to solve complex business problems and uncover actionable insights. Integration and Implementation : Collaborate with IT and domain experts to ensure smooth integration of data science models into existing business workflows and systems. Innovation and Optimization : Continuously evaluate new data tools, methodologies, and technologies to enhance analytical capabilities and operational efficiency. Data Governance : Promote data quality, consistency, and security standards across the organization. Required Qualifications Bachelors or Masters Degree in Economics, Statistics, Data Science, or a related field. A minimum of 8 years of relevant experience in data analysis, data science, or analytics roles. At least 3 years of direct experience as a Data Scientist, preferably in enterprise or analytics lab environments. Possession of at least one recognized data science certification, such as : Certified Analytics Professional (CAP) Google Professional Data Engineer Proficiency in data visualization and storytelling tools and libraries, such as Matplotlib, Seaborn, and Tableau. Strong foundation in statistical modeling and risk analytics, with proven experience building and validating such models. Preferred Skills And Attributes Strong programming skills in Python, R, or similar languages. Experience with cloud-based analytics platforms (AWS, GCP, or Azure). Familiarity with data engineering concepts and tools (e.g., SQL, Spark, Hadoop). Excellent problem-solving, communication, and stakeholder engagement skills. Ability to manage multiple projects and mentor junior team members. (ref:hirist.tech) Show more Show less

Role : Senior Data Scientist Experience : 8+ Location : Ghaziabad Responsibilities Possesses deep expertise in data analysis, data science, and data management, with a focus on data lab or analytics-driven environments. Collaborates with stakeholders to design and implement data strategies that align with organizational goals. Develops and deploys predictive models and machine learning algorithms to address business challenges and deliver actionable insights. Works in close coordination with domain experts and IT teams to seamlessly integrate data science solutions into existing systems and workflows. Qualification Bachelors Degree/masters degree or Equivalent in Economics, Statistics, Data Science or related field. 8+ Years of relevant experience. 3+ Years of experience as Data Scientist. Certifications in data science, machine learning, or related areas Minimum one required from Certified Analytics Professional (CAP)/AWS Certified Big Data Specialty/Google Professional Data Engineer. Experience in data visualization tools (e.g., Matplotlib, Seaborn, Tableau etc.). Prior experience of statistical/risk modelling. (ref:hirist.tech) Show more Show less