4844 Numpy Jobs - Page 42

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

Hello, Hope you are doing well. We are Hiring for the role of Sr. AI/ML/ Data Scientist role. Please revert me back with your updated resume at astha.jaiswal@techsciresearch.com if you are interested. Below are the details: Job Location: Noida Job Role: S r. AI/ML/ Data Scientist Overview: We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About the Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research discussions. Qualifications Required: Strong fundamentals in machine learning, deep learning, and natural language processing (NLP) . Proficiency in Python , with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closed- and open-source models) . Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex , etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs ), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch . Knowledge of prompt engineering , Retrieval-Augmented Generation (RAG) , and LLM evaluation strategies. Experience working with REST APIs , data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred: Familiarity with the chemical or energy industry , or prior experience in market research/analyst workflows . Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD) . Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone , or ChromaDB . Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst : ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. Website : https://www.chemanalyst.com/

Job Title: Data Scientist Job Location: Jaipur Experience: 2 to 5 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management s Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation s Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review s Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration s Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical s Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment s Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review s System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills s Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested candidate can share your cv or reference at sulabh.tailang@celebaltech.com

Job Information Date Opened 07/23/2025 Industry AEC Job Type Permanent Work Experience 3 - 5 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 hands-on and visionary AI Lead to spearhead all AI initiatives within our organization. You will lead a focused team comprising 1 Data Scientist, 1 ML Engineer, and 1 Intern, while also being directly involved in designing and implementing AI solutions. The role involves identifying impactful AI use cases, conducting research, proposing tools and deploying AI models into production to enhance products, processes and user experiences. You will work across diverse domains such as NLP, computer vision, recommendation systems, predictive analytics and generative AI. The position also covers conversational AI, intelligent automation, and AI-assisted workflows for the AEC industry. A strong understanding of ethical and responsible AI practices is expected. Key Responsibilities: Lead AI research, tool evaluation and strategy aligned with business needs Build and deploy models for NLP, computer vision, generative AI, recommendation systems and time-series forecasting Guide the development of conversational AI, intelligent automation and design-specific AI tools Mentor and manage a small team of AI/ML professionals Collaborate with cross-functional teams to integrate AI into products and workflows. Ensure ethical use of AI and compliance with data governance standards. Oversee lifecycle of AI models from prototyping to deployment and monitoring. Qualifications and Experience Required: Educational Qualification: BE/BTech or ME/MTech degree in Computer Science, Data Science, Artificial Intelligence or related field Certifications in AI/ML, cloud AI platforms or responsible AI practices are a plus Technical Skills: 4–5 years of experience in AI/ML projects Strong programming skills in Python (must-have); R is a plus Experience with TensorFlow , PyTorch , Scikit-learn , OpenCV Familiarity with NLP tools like spaCy , NLTK and Hugging Face Transformers Backend integration using FastAPI or Flask Experience deploying models using Docker , Kubernetes and cloud services like AWS , GCP or Azure ML Use of MLflow , DVC for experiment tracking and model versioning Strong data handling with Pandas , NumPy , and visualization using Matplotlib , Seaborn Working knowledge of SQL , NoSQL and BI tools like Power BI or Tableau Preferred Exposure (Nice to Have): Familiarity with AEC , design workflows or other data-rich industries Experience collaborating with domain experts to frame and solve AI problems Leadership and Strategic Skills: Proven ability to lead small AI/ML teams. Strong communication and stakeholder management Familiarity with ethical AI principles and data privacy frameworks Ability to translate business problems into AI solutions and deliver results 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.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science, Generative AI (GenAI), Python programming and automation. The ideal candidate will lead the development of intelligent, scalable solutions that automate workflows, enhance decision-making, and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to have.Roles and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven solutions.Design and implement end-to-end data science workflows using Python, integrating diverse data sources (on-premise and cloud).Lead the transformation of manual, Excel-based processes into robust, governed Python-based automation pipelines.Apply advanced data science techniques including data preprocessing, feature engineering, and model development.Leverage GenAI models (e.g., GPT, DALL·E, LLaMA) for content generation, data exploration, and intelligent automation.Build and deploy applications using Microsoft Power Platform (Power BI, Power Apps, and Power Automate).Integrate systems and automate workflows using WTW Unify.Ensure high standards of code quality, modularity, and scalability in Python development.Implement CI/CD pipelines using Azure DevOps for seamless deployment of data science solutions.Maintain data governance, quality, and compliance with organizational standards.Stay abreast of emerging trends in AI, GenAI, and data engineering to drive innovation.Technical Skills & Tools:Mandatory:Key Skills: Generative AI, Machine Learning, Deep Learning, NLPPython (Data Processing, Engineering, Automation)Libraries: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras, OpenCV, NLTK, Spacy, Gensim, TextBlob, Fasttext, FastApiGenAI frameworks (e.g., OpenAI, Hugging Face, Meta AI, LangChain, LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions), Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming, Posit Workbench, R ShinyKnowledge of Microsoft Power Platform, WTW UnifyFunctional Expertise:8+ years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise environments.Experience in the Insurance domain (e.g., Finance, Actuarial) is a plus.Strong communication skills to engage with technical and non-technical stakeholders. Qualifications Educational Qualifications:Master’s degree in Statistics, Mathematics, Economics, or Econometrics from Tier 1 institutionsOR BE/B-Tech, MCA, or MBA from Tier 1 institutions

Experience: 5-8yrs Shift Timings: 10 AM to 7 PM IST Is Passport mandatory: Yes Job Location: Remote Please find below the Job Description for the Senior Python Developer role we are currently hiring for. We are looking for candidates with strong expertise in building robust data connectors and API integrations, especially with third-party HR platforms. This is a critical role with opportunities to lead development efforts and contribute to architectural design. Role: Senior Python Developer Job Summary We are looking for a Senior Python Developer with strong experience in building robust data connectors to integrate with various third-party platforms. This role is critical in designing and implementing OAuth-based integrations and scalable data ingestion pipelines in Python. You will lead the connector development efforts while optionally contributing to LLM integration, API services, and cloud deployment. Primary Responsibilities Design and develop standalone Python connectors to fetch and sync data from HR systems and third-party platforms such as Justworks, HiBob, Workday, Rippling, Velocity, BambooHR, UKG, etc. Implement secure OAuth2 authentication flows and manage API token lifecycles. Read and interpret API documentation to understand external systems and develop integration solutions. Collaborate with cross-functional teams to understand use cases and deliver reliable data access Skills : 5-8 years of Python development experience. Strong experience in building connectors/integrations with third-party APIs. Hands-on experience with OAuth2 and other authentication mechanisms. Ability to quickly understand API documentation and build efficient data fetching solutions. Familiarity with JSON, REST APIs, and best practices for secure and scalable data Skills (Optional) : Experience building REST APIs using FastAPI or Flask. Exposure to LLMs (Large Language Models) and frameworks like Hugging Face. Basic understanding of NumPy, PyTorch, or other AI/ML libraries. Familiarity with Amazon ECS or containerized deployment environments. Previous experience with HR/ERP platform integration. Knowledge of async programming (asyncio, aiohttp) for scalable connector performance. Why Join Us? Build integrations that unlock real-time business data across platforms. Work in a modern Python tech stack with the flexibility to explore AI/LLM initiatives. Opportunity to lead the connector architecture and design. (ref:hirist.tech)

Data Analyst (Machine Learning) Experience Level : 7+ years. Are you passionate about transforming raw data into actionable insights using advanced machine learning techniques? Were building a data-first culture where your work directly influences key business decisions. Were looking for a Data Analyst whos ready to bring innovation and precision to every data challenge. What Youll Do Design, build, and deploy machine learning models to predict customer behavior and forecast business metrics. Apply advanced statistical methods to large datasets to uncover meaningful trends and patterns. Create dynamic dashboards and reports using Power BI to inform strategic decision-making. Develop and manage data pipelines using Apache Airflow to ensure data integrity and model performance. Enhance internal datasets through API integration and Python scripting. Collaborate with cross-functional teams to solve business problems using data-driven approaches. What You Bring Bachelors or Masters degree in Statistics, Computer Science, Data Science, Economics, or a related field. Proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience in building ML models (regression, classification, time series). Strong understanding of statistical principles and predictive modeling. Hands-on experience with Power BI, Apache Airflow, SQL, and REST API integration. Nice To Have Experience with TensorFlow or PyTorch. Ability to clearly communicate technical findings to both technical and non-technical stakeholders. (ref:hirist.tech)

Technical Expertise Good understanding of the latest Python and Python Libraries In-depth knowledge and experience using Python, Django, Flask, React and Node Js Expertise in Python Libraries like Numpy, Pandas, Matplotlib, seaborn, Rasa, Rasa X etc. Expertise in Web services REST and SOAP Extensive knowledge in design, development and implementation of highly scalable and reliable micro services. Expert in front end technologies such as React, Angular, Java Script, HTML, CSS and bootstrap. Knowledge and experience in packaging and deploying containerized applications. Familiarity with DevOps tools such as docker, Kubernetes, git, Jenkins for CI/CD is required. Familiarity with build and development tools is expected. Familiarity with deploying the applications on Web servers/Application servers. Knowledge of Web Application Servers and MQ (Messaging Queue) technologies and Apache Kafka messaging. Experience with SQL and Non-SQL databases and ability to write complex SQL queries Experience in unit & integration testing Soft Skills Excellent written, verbal and communication skills Ability to write professional technical documentation. Able to actively follow progress and deliver information on a frequent basis (ref:hirist.tech)

As a Django Rest Framework Developer, you will be responsible for designing, developing, and maintaining backend APIs for a large-scale ERP system. Your role will involve architecting and implementing a microservices architecture, integrating PostgreSQL databases, implementing background tasks and scheduling using Celery, working with Kafka for messaging, utilizing Redis for caching, session management, and optimizing API performance, developing real-time communication features using Django Channels, managing data pipelines, writing clean, maintainable, and well-documented code, and collaborating with frontend teams, database administrators, and DevOps engineers. You should have at least 3 years of experience in backend development using Django and Django Rest Framework, a strong proficiency in Python, experience with microservices architecture, extensive knowledge of PostgreSQL or other relational databases, experience with handling asynchronous tasks and scheduling using Celery, familiarity with Kafka for building event-driven systems, expertise in Redis for caching and system performance improvement, hands-on experience with Django Channels for real-time communication, proficiency in Pandas and NumPy for data processing, manipulation, and analysis, familiarity with ERP systems and their modules, understanding of RESTful API design principles, security best practices, and scalability patterns, knowledge of Docker and containerized deployments, experience with version control systems like Git, strong problem-solving skills, experience with CI/CD pipelines, familiarity with Kubernetes, and knowledge of GraphQL for building flexible APIs. You should have the ability to reliably commute to Gurugram, Haryana, or plan to relocate before starting work. Additionally, you should have experience working on ERPs and leading backend teams or managing end-to-end backend projects. This is a full-time position with a fixed shift schedule and an in-person work location.,

We are seeking a skilled Python Developer to join our dynamic software development team at Orane. As a Python Developer, you will be responsible for developing robust, scalable applications and contributing to our data science and machine learning initiatives. Key Responsibilities: Design, develop, and maintain Python-based applications and systems Collaborate with cross-functional teams to analyze requirements and deliver solutions Write clean, efficient, and well-documented code following best practices Participate in code reviews and contribute to improving development processes Work on data science and machine learning projects using Python libraries Debug and troubleshoot applications to ensure optimal performance Stay updated with latest Python frameworks and technologies Required Skills: Minimum 5 years of professional Python development experience Strong proficiency in Python frameworks (Django, Flask, FastAPI) Experience with data science libraries (Pandas, NumPy, Scikit-learn) Knowledge of machine learning concepts and implementation Familiarity with databases (SQL and NoSQL) Understanding of version control systems (Git) Experience with RESTful API development Strong problem-solving and analytical skills Preferred Qualifications: Bachelor's degree in Computer Science or related field Experience with cloud platforms (AWS, Azure, GCP) Knowledge of containerization (Docker, Kubernetes) Familiarity with agile development methodologies Experience with data visualization tools Join our team and contribute to innovative projects while growing your career in a collaborative environment!

Job Description Primary Responsibilities Support in establishing frameworks to standardize, productize and scale existing and new capabilities / analytical solutions Implement the vision, roadmap, and best practices for the Data Science Center of Excellence (CoE) to align with business goals Support establishing governance frameworks to measure the value of products, standardize data science methodologies, coding practices, and project workflows Work with senior CoE members in development and maintenance of best practices for model and algorithm development and design, deployment, and monitoring across the enterprise functions Collaborate with product team on product development incorporating Agile framework and latest industry best practices and norms Support in development of MLOps and ModelOps frameworks to streamline the development-to-deployment product pipeline Drive innovation by identifying, evaluating, and implementing cutting-edge data science methodologies based on latest published literature Qualifications Education & Work Experience Requiremen ts Master’s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience. Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Prior experience in research publications in reputed journal is a plus Skillset Candidates must have - Strong programming skills in languages such as Python or R, and SQL with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, stats models) Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Exposure to product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, business analysis and quantitative skills Ability to effectively communicate proposals to key stakeholders Candidates are desired but not mandatory to have - Experience and familiarity with underlying concepts such as Patient analytics, MMx etc. Understanding of Pharma commercial landscape will be a plus Experience working with healthcare, financial, or enterprise SaaS products Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/28/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341751

Sr. Associate - SOC - Netskope: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. Curious to know what its like to work at Evalueserve? Watch this video What you will be doing at Evalueserve Threat and Vulnerability analysis. Analysis and response to hardware and software vulnerabilities. Manage security tools Knowledge of Cloud security Comprehensive knowledge on Vulnerability scanning tool UEBA and SOAR Audit and Compliance support Incident Response on Cybersecurity Knowledge of EDR, identity threat protection, Exposure management, RFM and unmanaged assets Knowledge of SIEM (Security Information and Event Management) and use cases. Monitoring network activity and ensuring no suspicious activities are happening. Collaborating with other departments to ensure system security. Identifying vulnerabilities and recommending changes to strengthen security. Conduct detailed analysis of incidents and create reports and dashboards. Handling incident alerts and collaborating with right stakeholders. Analyses all the attack alerts and come up with proper analysis What were looking for: About 4 - 8 years of work experience Knowledge of Proxy, secure web gateway (Policies, Rules) and related security alerts. Working experience of Endpoint DLP, Cloud DLP and CASB. Critical thinking and problem-solving abilities Monitoring and auditing the companys systems. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about how Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note :We appreciate the accuracy and authenticity of the information you provide, asit plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure allinformation is factual and submitted on time. For any assistance, your TA SPOCis available to support you .

Job Description: Key Responsibilities : Designing, coding, and testing analytics applications using python (Core Python, Object Oriented Programming and Functional Programming). Strong with data sets from databases (MSSQL. Oracle), data lakes like S3 and data lakehouses like Dremio. So having python Object Relational Management (ORM) is mandatory. Strong experience on python data manipulation libraries like Pandas and NumPy is mandatory. Debugging, identifying and resolving bugs and issues in the code. Working with other software engineers, data scientists, and stakeholders to deliver high-quality (scalable, readable & maintainable) software. Following Test Driven Development (TDD), Delivering stories of Agile Scrum Sprint. Creating and maintaining documentation for the software and development processes. Skills & Qualifications: Strong understanding and experience with Python programming language and its libraries (Core, OOP & FP). Expecting proficiency on libraries like Pandas & NumPy (having understanding would not be sufficient). Minimum 6 years of experience exclusively on Python development is preferred. Experience with SQL and NoSQL databases. Strong analytical and problem-solving skills to identify and resolve technical issues. Ability to work effectively in a team and communicate technical information clearly. Proficiency in using debugging tools and techniques. Familiarity with databases, data lake(S3). Understanding of continuous integration and continuous deployment pipelines on Azure/AWS.

"Key Responsibilities: Develop and implement open-source and proprietary Large Language Models (LLMs). Design, train, and deploy machine learning and deep learning algorithms. Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks. Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction). Optimize models through experimentation, tuning, and continuous improvement. Stay current with advancements in AI research, publications, and tools. Collaborate with backend developers to implement RESTful APIs. Create and maintain high-quality technical documentation. Debug and upgrade existing systems, incorporating user feedback. Write and manage performant, scalable APIs and services. Skills & Qualifications: Proficient in Python and frameworks such as Django REST Framework. Strong command of AI libraries: NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn. Experience with prompt engineering and AI-powered NLP tools. Familiarity with Generative AI (GenAI) approaches. Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations. Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools. Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML. Experience with Agile methodologies and Test-Driven Development (TDD) environments. Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage."

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solutionThe ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with an offshore team to produce outcomes in a timely manner.The person should have a good experience in handling generative AI model.The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive modelsIdeal candidate should have hands on experience using Machine Learning TechniquesGood knowledge of model development experience using PythonHe / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholdersShould possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value addHands on experience in developing models (end to end)Experience with Natural Language ProcessingPython for Data Science (mandatory), Good proficiency in end to end coding which includes deployment experience.Experience processing large data.Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plusFunctional/Domain Experience:Good exposure to BFSI domain ( Insurance is preferred) Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

AccioJob is conducting a Walk-In Hiring Drive with Global Consulting and Services for the position of Python Automation Engineer . To apply, register and select your slot here: https://go.acciojob.com/7cQaMa Required Skills: Excel, Python, Panda, Numpy, SQL Eligibility: Degree: BTech./BE, MTech./ME, BCA, MCA, BSc., MSc Branch: All Graduation Year: 2023, 2024, 2025 Work Details: Work Location: Pune (Onsite) CTC: 3 LPA to 6 LPA Evaluation Process: Round 1: Offline Assessment at AccioJob Pune Centre Further Rounds (for shortlisted candidates only): Profile & Background Screening Round, Technical Interview 1 Technical Interview 2 Tech+Managerial Round Important Note: Bring your laptop & earphones for the test. Register here: https://go.acciojob.com/7cQaMa Or apply directly via the AccioJob App : https://go.acciojob.com/e3Qzxt

Company: Mercer Description: About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role Senior Computer Vision Engineer Functional Area AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent.Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks.Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.Test and refine models and systems based on real-world data and feedback.Evaluate project requirements, plan and manage the roadmap of a project.Present findings and insights in a clear and concise manner to stakeholders.Collaborate and help to integrate and deploy computer vision systems into broader product architecture.Conduct research to stay updated on emerging computer vision technologies and trends.Automate data preprocessing and annotation processes to streamline workflow efficiency.Maintain comprehensive documentation for algorithms, implementations, and evaluations.Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus.Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers.Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.Experience in evaluating computer vision models using relevant metrics and performance indicators.Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.Basic knowledge of linear algebra, calculus, and statistics.Strong critical thinking, analytical, and problem-solving skillsSelf-motivated, quick learner and strong team player with ability to work with minimal supervision. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai & Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field Minimum of 3 hands-on ML/AI projects, preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy, and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering Why Join Us: Work on impactful, real-world AI challenges Collaborate with a passionate and innovative team Opportunities for career advancement and learning Flexible work environment (remote/hybrid options) Competitive compensation and benefits To Apply: Please send your resume, portfolio (if applicable), and a brief summary of your ML/AI projects to ranjana.g@zenardy.com

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Python Lead/Developer Experience: 4-10 Years Skill Set: Python, Flask, Pandas, NumPy, Matplotlib, Plotly , SQL Location: Pune, Hyderabad, Gurgaon Job Summary : Are you a seasoned software developer with 5 to 10 years of experience and a passion for building scalable backend systems? Were looking for someone just like you! Location: Bangalore Qualification: Bachelors degree in Engineering Availability: Immediate joiners preferred Key Responsibilities: Design and develop scalable Python applications using FastAPI Collaborate with cross-functional teams including front-end, data science, and DevOps Work with libraries like Pandas, NumPy, Scikit-learn for data-driven solutions Build and maintain robust backend APIs and database integrations Implement unit, integration, and end-to-end testing Contribute to architecture and design using best practices Mandatory Skills: Strong Python expertise with data libraries (Pandas, NumPy, Matplotlib, Plotly) Experience with FastAPI/FlaskAPI , SQL/NoSQL (MongoDB, Postgres, CRDB) Middleware orchestration (Mulesoft, BizTalk) CI/CD pipelines, RESTful APIs, OOP, and design patterns Desirable Skills: Familiarity with OpenAI tools (GitHub Copilot, ChatGPT API) Experience with Azure , Big Data , Kafka/RabbitMQ , Docker/Kubernetes Exposure to distributed and high-volume backend systems If interested, then Please share your updated resume with below details at pragati.jha@gspann.com LinkedIn Profile Link: Position Applied For: Full Name: Contact Number: Email ID: Total Experience: Relevant Experience: Current Company: Current Salary: Expected Salary: Notice Period: Last Working Day (LWD): Any Offers in Hand? Current Location: Preferred Location: Comfortable for 5 days a Week? Are you comfortable coming for Face to Face for client round after initial online rounds? Skills and Rating (Scale of 5): Data Engineer: Python: Flask: Cloud (which cloud): SQL: Any other technologies: Please confirm Interview Availability: Time slot pls confirm Once we have these details, we can move forward with the next steps.

Location : Vadodara Type : Full-time / Internship Duration (for interns) : Minimum 3 months Stipend/CTC : Based on experience and role About Gururo Gururo is a global leader in practical, career-transforming education. With a mission to equip professionals and students with real-world skills, we specialize in project management, leadership, business analytics, and emerging technologies. Join our dynamic, impact-driven team to work on data-centric products that empower decision-making and transform education at scale. Who Can Apply? Interns: Final-year students or recent graduates in Computer Science, Statistics, Mathematics, Data Science, or related fields with a passion for data storytelling. Freshers: 0–1 years of experience with academic projects or internship exposure to data analysis. Experienced Professionals: 1+ years of hands-on experience in analytics or data roles, with a portfolio or GitHub/Power BI/Tableau profile showcasing analytical thinking. Key Responsibilities Collect, clean, and analyze data from multiple sources to uncover trends and actionable insights Build dashboards and reports using tools like Excel, Power BI, or Tableau Translate business problems into analytical solutions through exploratory data analysis (EDA) Support A/B testing, cohort analysis, and customer segmentation for business decision-making Use SQL to query and manipulate structured data from relational databases Assist in building data pipelines and automation for recurring analytics tasks Communicate findings effectively through visualizations and presentations Collaborate closely with product, marketing, and engineering teams to support data-driven strategies Must-Have Skills Strong proficiency in Excel and SQL Basic to intermediate knowledge of Python for data analysis (Pandas, NumPy) Familiarity with data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn Good understanding of descriptive statistics, data cleaning, and EDA Ability to communicate insights clearly to technical and non-technical stakeholders Experience with Google Analytics, TruConversion, or similar analytics platforms (optional for interns) Good to Have (Optional) Experience with data storytelling, dashboarding, and automation scripts Exposure to R, Looker, or Metabase Familiarity with web/app analytics, conversion funnels, and retention metrics Understanding of data warehousing concepts and basic ETL pipelines GitHub portfolio, published reports, or participation in data hackathons What You’ll Gain Real-world experience in data analytics and business intelligence Mentorship from senior analysts and cross-functional collaboration exposure Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunity to work on data for educational product growth and user behavior insights Flexible working hours and performance-linked growth Hands-on end-to-end data projects — from raw data to executive insights

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 4200000 (ie INR 25-42 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time We are looking for a highly skilled and motivated Lead Data Scientist to join our growing data team. The ideal candidate will bring strong expertise in machine learning , data science using Python , and end-to-end model development to lead high-impact projects that drive business insights and innovation. You will work closely with cross-functional teams including engineering, product, and business stakeholders to identify opportunities, formulate data-driven solutions, and deploy models at scale. Requirements Key Responsibilities: Lead and own the entire lifecycle of data science projects — from problem definition and data exploration to model development, validation, and deployment. Develop, implement, and optimize machine learning models using Python-based data science libraries and frameworks (e.g., Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch). Collaborate with engineering teams to deploy models into production systems and monitor their performance post-deployment. Conduct exploratory data analysis (EDA) to derive insights, identify patterns, and uncover business opportunities. Work with large and complex datasets using efficient data processing techniques, ensuring data quality and integrity throughout the pipeline. Lead data-driven initiatives and mentor junior data scientists on technical and strategic project execution. Present results and insights to business stakeholders in a clear and impactful manner, driving actionable recommendations. Continuously research and evaluate new tools, technologies, and methodologies to improve the team's capabilities and outcomes. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. 4-9 years of hands-on experience in data science, machine learning, and Python for data science applications. Strong proficiency in Python and its data science stack — Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc. Solid understanding of machine learning algorithms including supervised, unsupervised, and ensemble methods. Experience building and deploying ML models in production environments. Good knowledge of data wrangling, feature engineering, model tuning, and evaluation techniques. Familiarity with version control systems (e.g., Git), cloud platforms (e.g., AWS, GCP, or Azure), and ML Ops best practices is a plus. Excellent problem-solving skills and ability to break down complex problems into actionable solutions. Strong communication and collaboration skills, with the ability to lead technical discussions and influence stakeholders. Preferred Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with distributed data processing (e.g., Spark or Dask). Exposure to business intelligence tools and data visualization platforms like Power BI or Tableau

We're Hiring! AI/Automation Specialist Location: Mahapura / Mahindra SEZ on Ajmer Road, Jaipur. Company: Pinkcity Jewelhouse Pvt.Ltd Jaipur Rajasthan Experience : 2-5 years developing and implementing AI-driven automation solutions or machine learning models in a professional setting. Budget:10-12 LPA , Education: Master's degree in Computer Science, Information Technology, Data Science, or a related quantitative field. Are you passionate about leveraging AI to transform business processes? Do you thrive on building innovative solutions that drive efficiency and growth? Pinkcity Jewelhouse, a leading jewelry manufacturing company in Jaipur, is looking for a talented AI/Automation Specialist to join our new, dynamic team. With over 1200 employees and four factories, Pinkcity Jewelhouse is experiencing rapid growth in contract manufacturing. We're committed to staying at the forefront of innovation, and that includes integrating cutting-edge AI into our operations. This is an exciting opportunity to be an early member of a team that will build small, impactful AI-powered tools to augment our existing systems and streamline various business processes. Key Skills: * Identify and analyze complex business processes within our manufacturing operations that can be enhanced or automated using AI and machine learning. * Design, develop, and implement custom AI-powered tools and scripts to optimize workflows, improve data accuracy, and enhance decision-making across production, supply chain, and quality control. * Collaborate closely with production, IT, and other departments to understand their needs and deliver effective, data-driven solutions. * Integrate new tools seamlessly with existing data sources and systems, including ERPNext. * Research and experiment with cutting-edge AI technologies, models, and methodologies to continuously improve our automation capabilities and identify new opportunities for innovation. * Contribute to building a culture of innovation and data-driven decision-making within the company. Technologies You'll Work With: We're looking for someone with a strong foundation in: * Programming Languages: Python (essential), with deep experience in libraries for data analysis (Pandas, NumPy), machine learning (Scikit-learn, TensorFlow, PyTorch), and automation frameworks. * AI/ML Concepts: Practical understanding and application of machine learning algorithms, natural language processing (NLP) for text analysis, predictive analytics. * Computer Vision: Hands-on experience with computer vision libraries like OpenCV and object detection models such as YOLO (You Only Look Once) for applications in quality control, inventory management, or process monitoring. * Data Handling: SQL for robust database interaction, and experience with APIs for seamless system integration. * IoT Devices: Experience working with IoT devices, data ingestion, and leveraging IoT data for analysis and automation. * Cloud Platforms: Experience with cloud services (AWS, Azure, GCP) for deploying and managing AI solutions and data pipelines is a significant plus. * Automation Tools: Familiarity with process automation tools and understanding how to connect AI models to automate workflows. Who You Are: * You have a proven track record of building practical, impactful solutions that solve real-world business problems. * You're a self-starter with excellent problem-solving skills and a keen eye for detail. * You have strong communication and interpersonal skills, enabling effective collaboration with diverse teams and translating complex technical concepts into actionable insights. * Experience in the manufacturing sector will be an advantage but it's not a must Why Join Pinkcity Jewelhouse? This is more than just a job; it's an opportunity to be at the forefront of digital transformation in a well-established and growing company. You'll have the unique chance to: * Make a significant impact: Your work will directly contribute to revolutionizing our operational efficiency, quality, and competitive edge through AI. * Build innovative solutions: Be an integral part of establishing and scaling our AI automation capabilities from the ground up. * Work with cutting-edge technologies: Continuously learn and apply the latest advancements in AI and machine learning. * Grow your career: We offer a dynamic environment with ample opportunities for learning and professional development. * Competitive Salary: We offer an industry-standard salary package that reflects your skills and experience. If you're ready to shape the future of jewelry manufacturing with AI, we encourage you to apply! To apply, please send your resume and a cover letter outlining your relevant experience to Recruitment@pinkcityindia.com or WhatsApp 7619740059

Become our next FutureStarter Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary! Technical Lead- AI/ML Expert Country/Region: IN Location: Hyderabad, TG, IN, 500032 Req ID 81032 | Hyderabad, India, ZF India Pvt. Ltd. Job Description About the team: AIML is used to create chatbots, virtual assistants, and other forms of artificial intelligence software. AIML is also used in research and development of natural language processing systems. What you can look forward to as a AI/ML expert Lead Development : Own end‑to‑end design, implementation, deployment and maintenance of both traditional ML and Generative AI solutions (e.g., fine‑tuning LLMs, RAG pipelines) Project Execution & Delivery : Translate business requirements into data‑driven and GenAI‑driven use cases; scope features, estimates, and timelines Technical Leadership & Mentorship : Mentor, review and coach junior/mid‑level engineers on best practices in ML, MLOps and GenAI Programming & Frameworks : Expert in Python (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow) Cloud & MLOps : Deep experience with Azure Machine Learning (SDK, Pipelines, Model Registry, hosting GenAI endpoints) Proficient in Azure Databricks : Spark jobs, Delta Lake, MLflow for tracking both ML and GenAI experiments Data & GenAI Engineering : Strong background in building ETL/ELT pipelines, data modeling, orchestration (Azure Data Factory, Databricks Jobs) Experience with embedding stores, vector databases, prompt‑optimization, and cost/performance tuning for large GenAI models Your profile as a Technical Lead: Bachelor’s or master’s in computer science/Engineering/Ph.D in Data Science, or a related field Min of 2 years of professional experience in AI/ML engineering, including at least 2 years of hands‑on Generative AI project delivery Track record of production deployments using Python, Azure ML, Databricks, and GenAI frameworks Hands‑on data engineering experience—designing and operating robust pipelines for both structured data and unstructured (text, embeddings) Preferred: Certifications in Azure AI/ML, Databricks, or Generative AI specialties Experience working in Agile/Scrum environments and collaborating with cross‑functional teams. Why you should choose ZF in India Innovative Environment : ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture : ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities Global Presence : As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being : ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Be part of our ZF team as Technical Lead- AI/ML Expert and apply now! Contact Veerabrahmam Darukumalli What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company? At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility. Find out how we work at ZF: Job Segment: R&D Engineer, Cloud, R&D, Computer Science, Engineer, Engineering, Technology, Research

JOB DESCRIPTION We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US