4556 Numpy Jobs - Page 31

"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

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! Specialist- AI/ML Expert Country/Region: IN Location: Hyderabad, TG, IN, 500032 Req ID 81033 | 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 exper t 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 Specialist : 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 Specialist- 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, R&D, Cloud, Computer Science, Engineer, Engineering, Research, Technology

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Business Services delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control: New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the GBS. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models. Job Description Associate would be involved in entire Machine Learning Development Lifecycle. Responsibilities Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data. Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns. Present information using data visualization techniques. Coordinate with different teams to implement the models and monitor outcomes. Build machine learning models to automate processes and reduce operational overhead. Perform continuous model monitoring and model support. Build processes and tools for analyzing model performance and data accuracy. Requirements Education : Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes Experience : 2.5 to 4 years Certifications (If any) : NA Foundational Skills : Strong technical skills including experience using Python/R and SQL or any object-oriented languages Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.) Banking domain is preferred but not required. Strong analytical/math skills (e.g. statistics, algebra) Familiarity with pandas, numpy, scikit-learn & scipy Basics of Visualization tools & techniques – eg. maptlotlib Desired Skills : Problem-solving aptitude Excellent communication and presentation skills Total Experience not more than 5 years and 2 Years of relevant experience should be preferred Work Timings : 12:00-9:00PM Job Location : Hyderabad

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About The Role Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

About The Role Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Job Title: Software Engineer Practitioner – Full Stack Data Engineer Location: Chennai (Hybrid)-34305 Type: Full-time Compensation: Up to ₹18 LPA About The Role We are seeking a seasoned Full Stack Data Engineer to join our Enterprise Data Platform team. This role is crucial in designing, building, and optimizing scalable data pipelines on the Google Cloud Platform (GCP) , using native tools such as BigQuery, Dataform, Dataflow, and Pub/Sub . You will ensure best practices in data governance, security, and performance while collaborating closely with cross-functional teams. This is a high-impact opportunity to influence Ford’s data engineering architecture and contribute to the company’s digital transformation. Key Responsibilities Design, develop, and maintain robust, scalable data pipelines on GCP using BigQuery, Dataform, Dataflow, and Pub/Sub. Collaborate with data engineering, architecture, and product teams to build data models, solutions, and automation. Ensure data governance, security, auditability, and high performance across all pipelines. Build custom cloud-native solutions leveraging tools like Data Fusion, Airflow, and Terraform. Optimize data transformation workflows using Python (NumPy, Pandas, PySpark, etc.) and SQL. Engage with stakeholders to understand data requirements and translate them into scalable engineering solutions. Participate in Agile/Scrum processes, including writing user stories and contributing to sprint planning. Drive the adoption of best practices in data warehousing, data lake design, and DevOps. Must-Have Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in full stack data engineering and database performance optimization. Strong command of GCP native tools: BigQuery, Dataform, Dataflow, Pub/Sub, Data Fusion. Proficient in Python, Java, SQL, and data orchestration tools like Airflow. Experience with Terraform, Tekton, and version control (e.g., Git). Solid understanding of data architecture, ETL/ELT pipelines, and data governance. Deep familiarity with Agile methodology, DevOps, and collaborative product development. Excellent communication skills and stakeholder engagement experience. Preferred Skills (Nice To Have) Experience with PostgreSQL, Dataproc, Cloud SQL, and containerization tools. Knowledge of industrial or enterprise data products and real-time data streaming. Experience working in a regulated or large enterprise environment. Additional Information Interact with internal data and analytics product lines to identify technical opportunities. Influence design standards and ensure reusability and scalability of developed components. Support process improvements across data delivery, curation, and analytics operations. Skills: dataflow,python,java,gcp,etl

Designation: AI/ML Developer Location: Ahmedabad Department: Technical Job Summary We are looking enthusiastic AI/ML Developer with 2 to 3 years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment. Key Responsibilities Develop and implement machine learning models tailored to business needs. Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI. Conduct data collection, cleaning, and pre-processing for model readiness. Train, test, and optimize models to improve accuracy and performance. Work closely with cross-functional teams to deploy AI models in production environments. Perform data exploration, visualization, and feature selection Stay up-to-date with the latest trends in AI/ML and experiment with new approaches. Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making. Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph. Ensure scalability and efficiency of deployed solutions. Monitor model performance and perform necessary updates or retraining. Requirements Strong programming skills in Python and experience with libraries like Tensor Flow, PyTorch, Scikit-learn, and Keras. Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems. Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning. Knowledge of knowledge graphs, semantic search, or symbolic reasoning. Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries. Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI. Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment. Knowledge of version control systems like Git. Experience with Natural Language Processing (NLP), computer vision, or predictive analytics. Exposure to MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow). Basic familiarity with big data frameworks like Apache Spark or Hadoop. Understanding of data pipelines and ETL processes. What We Offer Opportunity to work on live projects and client interactions. A vibrant and learning-driven work culture. 5 days a week & Flexible work timings.

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications , including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments , both in the cloud and on edge devices . Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models for: Face detection and recognition Object/person detection and tracking Intrusion and anomaly detection Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines. Surveillance System Integration Integrate computer vision models with live CCTV/RTSP streams for real-time analytics. Develop components for motion detection , zone-based event alerts , person re-identification , and multi-camera coordination . Optimize solutions for low-latency inference on edge devices (Jetson Nano, Xavier, Intel Movidius, Coral TPU). Model Optimization & Deployment Convert and optimize trained models using ONNX , TensorRT , or OpenVINO for real-time inference. Build and deploy APIs using FastAPI , Flask , or TorchServe . Package applications using Docker and orchestrate deployments with Kubernetes . Automate model deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins). Monitor model performance in production using Prometheus , Grafana , and log management tools. Manage model versioning, rollback strategies, and experiment tracking using MLflow or DVC . As an AI/ML Engineer, you should be well-versed of AI agent development and finetuning experience Collaboration & Documentation Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps. Required Qualifications: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. 3–6 years of experience in AI/ML, with a strong portfolio in computer vision, Machine Learning . Hands-on experience with: Deep learning frameworks: PyTorch, TensorFlow Image/video processing: OpenCV, NumPy Detection and tracking frameworks: YOLOv8, DeepSORT, RetinaNet Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time model deployment on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools. Preferred Qualifications: Experience with multi-camera synchronization and NVR/DVR systems. Familiarity with ONVIF protocols and camera SDKs. Experience deploying AI models on Jetson Nano/Xavier , Intel NCS2 , or Coral Edge TPU . Background in face recognition systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems. Tools & Technologies: Languages & AI - Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn Model Serving - FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs Model Optimization - ONNX, TensorRT, OpenVINO, Pruning, Quantization Deployment - Docker, Kubernetes, Gunicorn, MLflow, DVC CI/CD & DevOps - GitHub Actions, Jenkins, GitLab CI Cloud & Edge - AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU Monitoring - Prometheus, Grafana, ELK Stack, Sentry Annotation Tools - LabelImg, CVAT, Supervisely Benefits: Competitive compensation and performance-linked incentives. Work on cutting-edge surveillance and AI projects. Friendly and innovative work culture. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job description Primary role Writing efficient, reusable, testable, and scalable code. Developing - backend components to enhance performance and receptiveness, server - side logic and platform, statistical learning models. Integrate user-facing elements into applications. Improve functionality of existing systems. Working with python libraries like pandas, Numpy, etc. Creating models for AI and ML - based features. Coordinate with internal teams to understand user requirements and provide technical solutions. Job Overview (7454) Experience 30 Month(s). City Surat. Qualification M.SC,MCA,PGDCA Area of Expertise PYTHON Prefer Gender Male Function AI & ML Audio / Video Profile NA

Location: Noida / Gurgaon (Onsite – 5 Days a Week) Experience: 4 to 7 Years Employment Type: Full-Time Background Verification (BGV) : Mandatory post-selection About the Role We are looking for highly skilled Python Developers who are passionate about building scalable and reliable backend solutions. You will work in a dynamic, collaborative environment and contribute to robust system architecture, core development, and feature optimization using modern Python frameworks, libraries, and tools . Key Responsibilities Design, develop, test, and maintain backend components using Python and modern frameworks. Apply strong knowledge of OOPs concepts , data structures , and algorithms to write clean, efficient, and scalable code. Work with Python libraries such as NumPy, Pandas, SciPy, and Scikit-learn to build data-driven solutions. Collaborate with DevOps teams for seamless deployment using Docker and CI/CD pipelines . Work with MySQL databases to design schema, write queries, and ensure data integrity. Version control and code management using Git . Collaborate with cross-functional teams, participate in code reviews, and contribute to agile development. Job Type: Full-time Pay: ₹70,000.00 - ₹80,000.00 per month Location Type: In-person Schedule: Day shift Experience: Python: 5 years (Required) SQL: 3 years (Required) Git: 1 year (Required) Location: Noida, Uttar Pradesh (Required) Work Location: In person Speak with the employer +91 8851582342

As Python Developer, you'll contribute to the core analytics engine that powers portfolio scoring and optimization. If you're strong in Python and love working with numbers, dataframes, and algorithms—this is the role for you. Key Responsibilities - Build and maintain internal Python libraries for scoring, data ingestion, normalization, and transformation. - Collaborate on the core computation engine, dealing with Return, Safety, Income scoring algorithms. - Process broker portfolio data and validate datasets using clean, modular Python code. - Contribute to writing tests, CI scripts, and engine documentation. - Participate in internal design discussions and implement enhancements to existing libraries and engines. - Financial data set like factser and bloomberg to build quant model for USA market Must-Have Skills - Proficiency in Python 3.x, with attention to clean, testable code. - Hands-on experience with NumPy and pandas for numerical/data processing. - Understanding of basic ETL concepts and working with structured datasets. - Familiarity with Git, unit testing, logging, and code organization principles. - Strong problem-solving ability and willingness to learn new technologies fast. Good to Have (Bonus Points) - Experience with SQL and writing efficient queries for analytics use-cases. - Exposure to ClickHouse or other columnar databases optimized for fast OLAP workloads. - Familiarity with data validation tools like pydantic or type systems like mypy. - Knowledge of Python packaging tools (setuptools, pyproject.toml). - Experience with Apache Arrow, Polars, FastAPI, or SQLAlchemy. - Exposure to async processing (Celery, asyncio), Docker, or Kubernetes. What You’ll Gain - Work on the core decision-making engine that directly impacts investor outcomes. - Be part of a small, high-quality engineering team focused on clean, impactful systems. - Mentorship and learning in data engineering, financial analytics, and production-quality backend systems. - Growth path into specialized tracks: backend, data engineering, or system architecture. About the Stack While your main focus will be Python, you'll also interact with services that consume or publish to APIs, data stores like ClickHouse and PostgreSQL, and real-time processing queues. Job Type: Full-time Pay: ₹10,000.00 - ₹50,000.00 per month Location Type: In-person Work Location: In person

Job Title: Data Scientist / MLOps Engineer (Python, PostgreSQL, MSSQL) Location: Kolkata (Must) Employment Type: Full-Time Experience Level: 1–3 Years About Us: We are seeking a highly motivated and technically strong Data Scientist / MLOps Engineer to join our growing AI & ML team. This role involves the design, development, and deployment of scalable machine learning solutions, with a strong focus on operational excellence, data engineering, and GenAI integration. Key Responsibilities: Build and maintain scalable machine learning pipelines using Python. Deploy and monitor models using MLFlow and MLOps stacks. Design and implement data workflows using standard python libraries such as PySpark. Leverage standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. Work with GenAI technologies, including Azure OpenAI and other open source models, for innovative ML applications. Collaborate closely with cross-functional teams to meet business objectives. Handle multiple ML projects simultaneously with robust branching expertise. Must-Have Qualifications: Expertise in Python for data science and backend development. Solid experience with PostgreSQL and MSSQL databases. Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. Experience working with Databricks , MLFlow , and Azure . Strong understanding of MLOps frameworks and deployment automation. Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. Preferred Qualifications: Experience in the Finance, Legal or Regulatory domain. Working knowledge of clustering algorithms and forecasting techniques. Previous experience in developing reusable AI frameworks or productized ML solutions. Education: B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. Why Join Us? Work on cutting-edge ML and GenAI projects. Be part of a collaborative and forward-thinking team. Opportunity for rapid growth and technical leadership. Job Type: Full-time Pay: ₹344,590.33 - ₹1,050,111.38 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 3 years (Required) ML: 2 years (Required) Location: Kolkata, West Bengal (Required) Work Location: In person Application Deadline: 02/08/2025 Expected Start Date: 04/08/2025

Key Responsibilities: Develop Python Code: Write efficient, maintainable code for AI/ML algorithms and systems. Model Development: Design, train, and deploy machine learning models (supervised, unsupervised, deep learning). Data Processing: Clean, preprocess, and analyze large datasets. Collaboration: Work with cross-functional teams to integrate AI/ML models into products. Optimization: Fine-tune models for performance, accuracy, and scalability. Required Skills: Strong Python programming skills, with experience in libraries like NumPy, pandas, scikit-learn, TensorFlow, or Py Torch. Hands-on experience in AI/ML model development and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and version control (Git). Degree in Computer Science, Data Science, or a related field. Job Type: Full-time Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Indore Pardesipura, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) Work Location: In person