60 Scikit Learn Jobs nearby Manesar

As a highly skilled and innovative Data Scientist specializing in Natural Language Processing (NLP) and Generative AI, you will play a lead role in solving complex challenges across diverse domains at GlobalLogic. Your responsibilities will include designing, developing, and deploying transformative AI solutions. You will have the opportunity to lead internal AI product development, guide client-facing initiatives, and shape the technical direction of AI capabilities. This position is ideal for a hands-on practitioner and strategic thinker who thrives in dynamic environments and is passionate about advancing AI. **Key Responsibilities:** - Lead the end-to-end design, development, and deployment of cutting-edge NLP and Generative AI systems using Large Language Models (LLMs) for addressing business-critical challenges. - Research and implement state-of-the-art AI techniques such as RAG architectures, fine-tuning (PEFT, LoRA), Agentic AI systems, and multi-modal models. - Architect and maintain robust, production-grade pipelines for model training, deployment, monitoring, and automated retraining to ensure system reliability and efficiency. - Identify and mitigate issues like hallucination, bias, and latency. Develop and enforce guardrails, observability metrics, and safety protocols for fair, reliable, and compliant AI solutions. - Optimize inference performance through quantization, model distillation, and efficient pipeline design to reduce latency and operational costs. - Partner with cross-functional teams, clients, and stakeholders to define requirements, translate business needs into technical deliverables, and provide tailored AI-powered solutions. - Mentor junior data scientists, promote best practices in AI/ML development, and contribute to a culture of continuous innovation and learning. **Qualifications Required:** - 4+ years of hands-on experience in Data Science, AI/ML, or related fields, with a proven track record of delivering production-grade NLP and Generative AI solutions. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA, Mistral) and hands-on experience with advanced fine-tuning methods such as PEFT, LoRA, and prompt engineering. - Strong expertise in designing and implementing Retrieval-Augmented Generation (RAG) systems using vector databases like Pinecone, Chroma, FAISS, or similar. - Expert-level skills in Python and major ML libraries such as PyTorch, TensorFlow, Hugging Face, and Scikit-learn. Familiarity with backend frameworks (e.g., Flask, Django) for API development is highly desirable. - Practical experience applying MLOps principles, including containerization (Docker, Kubernetes), CI/CD automation, and deploying scalable AI systems on AWS, GCP, or Azure. - Strong problem-solving, analytical, and research abilities, with the capacity to work independently, manage multiple priorities, and deliver innovative solutions in ambiguous environments. - Must possess any graduation degree (Must have Provisional Certificate & Consolidated Marks Memo). - Must be willing to work from the office and in rotational shifts (5 Working Days & 2 Week Offs). - Must be ready to join immediately. At GlobalLogic, you will experience a culture of caring that prioritizes putting people first. You will be part of an inclusive culture of acceptance and belonging, where you can build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. GlobalLogic is committed to your continuous learning and development, offering numerous opportunities to try new things, sharpen your skills, and advance your career with programs like Career Navigator. You will work on interesting and meaningful projects that make an impact for clients around the world, engaging your curiosity and problem-solving skills. With a focus on balance and flexibility, GlobalLogic provides various career areas, roles, and work arrangements to help you achieve the perfect balance between work and life. As a high-trust organization, GlobalLogic values integrity, truthfulness, candor, and trust in everything we do. Join GlobalLogic, a Hitachi Group Company, to collaborate with the world's largest companies in transforming businesses and redefining industries through intelligent products, platforms, and services.,

As a CAE Engineer / Analyst, your role will involve Crash CAE Simulation & Evaluation. Your primary responsibilities will include: - Conducting full vehicle simulation using LS-DYNA software - Interpreting results using tools like LS-Pre Post, Hyperview, and Hyper Graph - Preparing detailed reports - Correlating simulation results with physical tests - Improving CAE methodology - Developing and deploying machine learning models for predictive CAE simulations and structural optimization Additionally, part of your responsibilities will include: - Integrating AI algorithms into CAE tools to automate simulation workflows - Analyzing large-scale simulation and sensor data to enhance model accuracy - Collaborating with simulation teams to embed AI into vehicle development processes To excel in this position, you should have: - Knowledge of AIS Safety Regulations and NCAP protocols - Experience in model builds and system-level/full vehicle simulations - Background in automotive crash and occupant safety simulations - Strong programming skills in Python - Hands-on experience with ML frameworks like Scikit-learn, TensorFlow, and PyTorch Moreover, your competency in: - Debugging models for LS-DYNA environment - Interpreting FEA results - Preparing comprehensive analysis reports with countermeasure proposals Exposure to physical test procedures and the ability to understand physical test results will be advantageous. In terms of behavioral traits, you should demonstrate: - Excellent interpersonal, communication, and presentation skills - Achievement-oriented mindset - Team player attitude - Strong networking skills No additional details of the company are mentioned in the job description.,

As a Data Scientist at Axtria, you will be part of the Data Science Practice team, contributing individually to solve real-world problems using cutting-edge capabilities and emerging technologies. Your responsibilities will include: - Helping clients translate business use cases into data science solutions - Configuring, maintaining, documenting, and updating data sources - Working with machine learning frameworks like TensorFlow, Caffe, Keras, and SparkML - Demonstrating expertise in statistical and probabilistic methods such as SVM, Decision-Trees, and Clustering - Utilizing python data-science and math packages like NumPy, Pandas, and Scikit-learn - Proficiency in object-oriented languages (Java and/or Kotlin), Python, and common machine learning frameworks - Experience in IOS development and React Native - Experience in Fullstack development with React and Python Qualifications required for this role include: - Bachelor's Equivalent in Engineering - Master's Equivalent in Engineering - 3-6 years of experience as a Data Scientist with expertise in advanced statistical and mathematical models, predictive modeling using Python, and AI/ML algorithms - Experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, and Airflow, Docker, Kubernetes, OpenShift - Experience in developing, testing, and deploying Python based applications on Azure/AWS platforms - Familiarity with concepts of Generative AI/LLMs/GPT, web technologies, Python, SQL, and popular web frameworks - Minimum 3 years of experience as an IOS Developer and 5+ years in React Native development - 3-6 years of experience as a Fullstack Developer deploying React, Javascript, Python based applications on Azure/AWS platforms, with expertise in frontend and backend technologies Join Axtria's Data Science Practice to accelerate the company's growth and support clients" commercial & clinical strategies with your expertise and innovative solutions.,

Role Overview: You are a Python & AI/ML Developer joining our client's team. Your role involves designing, developing, and refining machine learning models and algorithms to enhance products. Collaboration with cross-functional teams is crucial to deliver innovative solutions. Key Responsibilities: - Design, implement, and optimize machine learning and AI models. - Collect, preprocess, and analyze data for model training, validation, and testing. - Evaluate, fine-tune, and enhance existing ML and deep learning models. - Create technical designs for AI/ML/NLP/NLU/NLG projects and lead implementation. - Work with product teams, analysts, and developers to integrate ML models into applications. - Communicate findings, insights, and recommendations to stakeholders. - Stay updated with the latest advancements in AI, ML, deep learning, and LLMs. - Mentor and guide junior developers in AI/ML practices and tools. Qualification Required: - 5-8 years of proven experience in AI/ML development with Python. - Proficiency in Python and ML libraries like Scikit-Learn, TensorFlow, PyTorch, Keras. - Strong understanding of deep learning architectures and algorithms. - Hands-on experience with LLMs and modern NLP techniques. - Experience with cloud platforms (AWS preferred - SageMaker, Aurora, MongoDB, Analytics). - Familiarity with data science tools (Python, R; knowledge of Java/C is a plus). - Experience with containerization (Docker) and cloud solutions (AWS/GCP). - Ability to produce robust, scalable, and production-ready ML solutions. - Strong collaboration and communication skills to work effectively with diverse stakeholders. - Leadership skills to train and develop a team of AI/ML developers. Additional Details: The work location for this role is in Gurugram within the Artificial Intelligence (AI) industry. Desirable Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, or related field. - Relevant certifications in Python, AI/ML, or LLMs.,

As a member of the Data and Technology team at Bain Capability Network, your role will involve translating business objectives into data and analytics solutions. You will be responsible for leveraging Gen AI skills to design repeatable analytical solutions, building and deploying machine learning models using Scikit-Learn, and implementing NLP models with Hugging Face. Collaboration with engineering team members, developing scalable products, and staying updated on AI/ML technologies are key aspects of this position. Additionally, you may lead a small team and manage their day-to-day activities. Key Responsibilities: - Translate business objectives into data and analytics solutions - Leverage Gen AI skills to design and create repeatable analytical solutions - Design, build, and deploy machine learning models using Scikit-Learn - Implement and fine-tune NLP models with Hugging Face - Collaborate with engineering team members to develop scalable products - Assist in creating standard operating procedures for data processes - Stay updated on new developments in AI/ML technologies Qualifications Required: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field preferred - 3+ years of experience in data science & data engineering with hands-on experience in AI/GenAI tools - Proficiency with data wrangling in either R or Python - Experience with RESTful and GraphQL APIs, MLOps practices, Git, and modern software development workflow - Familiarity with containerization (Docker/ Kubernetes) is a plus - Agile way of working and tools (Jira, Confluence, Miro) - Strong interpersonal and communication skills - Experience with Microsoft Office suite is preferred You will play a vital role in advancing Bain's expertise in the consumer products sector by supporting the Benchmarking team. Your contribution will empower consultants to deliver insights and drive value for clients in the industry. Embrace this opportunity to be part of a team that creates critical intellectual property valuable for new CPG cases globally at Bain.,

As an AI & Embedded Systems Engineer at our company, you will play a crucial role in bridging the gap between data science and embedded systems. Your expertise in Python, AI, and Machine Learning, along with a solid understanding of C/C++ and Linux programming, will contribute to intelligent product development and advanced analytics solutions. Key Responsibilities: - Develop and implement Machine Learning and Deep Learning models for predictive analytics and intelligent automation. - Work on AI-driven embedded applications, optimizing algorithms for edge devices. - Utilize strong programming skills in Python, C, and C++ for data processing, model training, and deployment. - Collaborate with cross-functional teams to integrate AI/ML algorithms into real-time systems and products. - Manage and analyse large datasets, ensuring data integrity, preprocessing, and feature engineering. - Customize Linux environments for data-centric processing and performance tuning. - Apply advanced statistical methods, data visualization, and model evaluation techniques. Technical Expertise: - Programming: Python, C, C++, Linux - Machine Learning: TensorFlow, Porch, scikit-learn, OpenCV - Embedded AI: Edge AI deployment, model optimization, hardware acceleration - Microcontrollers: 8-bit, 16-bit, ARM architectures - Protocols: I2C, SPI, UART, USB, CAN, RS-232 - Other Skills: Data preprocessing, feature engineering, model tuning, version control (Git), Linux scripting Preferred Qualifications: - Bachelors /masters degree in computer science, Electronics, or related fields. - 2-3 years of experience in Data Science, AI/ML development, or Embedded AI systems. - Strong problem-solving ability and understanding of both software algorithms and hardware constraints.,

As a Data Science Engineer at V-Patrol AI, a fast-paced, innovative cybersecurity company, your role will involve designing, developing, and deploying advanced machine learning and deep learning models. You will be responsible for building scalable data pipelines and delivering impactful insights in real-time to combat cyber threats. Key Responsibilities: - Design & develop machine learning and deep learning models for cybersecurity use cases. - Build and manage data pipelines for structured/unstructured data such as network logs and threat feeds. - Develop and integrate APIs for model deployment and real-time data flow. - Collaborate with software engineers, analysts, and stakeholders to drive data-driven decisions. - Monitor model performance and optimize for production environments. - Communicate findings effectively through dashboards, reports, and visualizations. Qualification Required: - Bachelor's or Masters in Data Science, Computer Science, Statistics, or a related field. - Strong command over Python, pandas, scikit-learn, TensorFlow/PyTorch. - Experience with REST APIs, FastAPI/Flask, and data preprocessing techniques. - Knowledge of ML/DL models like XGBoost, LSTMs, Transformers, etc. - Exposure to cloud platforms (AWS/GCP), ETL tools, Docker/Kubernetes, etc. - Cybersecurity experience is a plus (e.g., threat detection, incident response). Join V-Patrol AI to work in a high-growth, innovative cybersecurity environment where you will have the opportunity to solve real-world cyber threat challenges with cutting-edge ML/DL models. Collaborate with talented engineers and data scientists in this full-time position. Please note that the work location is in person at Gurugram.,

Role Overview: You are sought after to be a hands-on AI/ML engineer responsible for designing, building, and producing Generative AI solutions including RAG pipelines and multi-agent systems to automate workflows and drive operational excellence. You will collaborate closely with solution/data architects, software developers, data engineers, and domain experts to rapidly prototype and deliver scalable, enterprise-grade systems. This individual contributor role requires strong research skills, deep expertise in AI foundation models, and the ability to translate cutting-edge concepts into impactful solutions for digital grid challenges. Key Responsibilities: - End-to-End GenAI Development: Design and implement RAG pipelines, agentic workflows, and LLM integrations for tasks such as document understanding, classification, and knowledge assistance. - Multi-Agent Orchestration: Build agent-based applications for planning, tool use, and execution using frameworks like LangGraph, Semantic Kernel, and prompt orchestration tools. - AI Enterprise Architecture: Strong Experience in AI architecture (scalable, modern, and secure) design across AI/ML enterprise solutions. - Data & MLOps Foundations: Architect data pipelines and cloud solutions for training, deployment, and monitoring on Azure/AWS with Docker, Kubernetes, and CI/CD. - Rapid Prototyping to Production: Convert problem statements into prototypes, iterate with stakeholders, and harden into production-ready microservices (FastAPI) with APIs and event-driven workflows. - Evaluation & Reliability: Define rigorous evaluation metrics for LLM/ML systems (accuracy, latency, cost, safety), optimize retrieval quality, prompt strategies, and agent policies. - Security & Compliance: Implement Responsible AI guardrails, data privacy, PII handling, access controls, and auditability. - Collaboration & Enablement: Partner with data engineers, mentor junior team members, and contribute to internal documentation and demos. Qualifications Required: - Education: Bachelors/masters in computer science, Data Science, Engineering, or equivalent experience - Experience: - 7-12 years delivering AI/ML, Data Science solutions in production. - 2-3 years focused on Generative AI/LLM applications. - Technical Skills: - Programming: Strong Python (typing, packaging, testing), data stacks (NumPy, Pandas, scikit-learn), API development (FastAPI/Flask). - GenAI Expertise: - Prompt engineering, RAG design (indexing, chunking, reranking). - Embeddings and vector databases (FAISS, Azure AI Search, Pinecone). - Agent frameworks (LangGraph, Semantic Kernel) and orchestration strategies. - Model selection/fine-tuning, cost-performance optimization, safety filters. - Cloud & Data: Hands-on with Azure/AWS; experience with Azure OpenAI, Azure AI Search, Microsoft Fabric/Databricks (preferred), Snowflake or similar DWH. - MLOps: Docker, Kubernetes, CI/CD (GitHub Actions/Gitlab), model deployment/monitoring. - Architecture: Microservices, event-driven design, API security, scalability, and resilience. - Soft Skills: - Excellent team player with the ability to work collaboratively in cross-functional and multicultural teams. - Strong communication skills able to explain complex technical ideas to non-technical stakeholders. - Adaptability to changing priorities and evolving technologies. - Problem-solving mindset with creativity, curiosity, and a proactive approach. - Time management & prioritization in fast-paced, iterative environments. - A mentoring attitude toward junior colleagues and an openness to receiving feedback. - Strong sense of ownership and accountability over deliverables. - Domain Knowledge: Experience applying AI/ML to power systems, electrical grids, or related domains.,

As a Credit Risk Scorecard Developer, your primary role will be to design and build credit risk scorecards to predict creditworthiness and optimize account management strategies. This includes creating application, behavioral, and collections scorecards. Your key responsibilities will include: - Extracting, cleaning, and preprocessing data from various sources using SQL. - Developing and implementing machine learning models for collections performance and delinquency prediction using Python, including libraries like pandas and scikit-learn. - Monitoring model performance, conducting backtesting, recalibration, and validation to ensure compliance with regulatory standards. - Collaborating with business and data teams to translate credit risk requirements into modeling specifications. - Documenting modeling processes, assumptions, and results for internal governance and audit purposes. No additional details about the company are provided in the job description.,

You will be responsible for supporting Machine Learning and AI projects as a motivated intern. Your role will involve utilizing your strong Python programming skills and basic understanding of ML/AI concepts. **Key Responsibilities:** - Provide support for Machine Learning and AI projects - Utilize Python programming skills to contribute to project development - Collaborate with the team to implement ML/AI solutions **Qualifications Required:** - Proficiency in Python - Familiarity with libraries like NumPy, pandas, scikit-learn, and YoloV8 - Knowledge of machine learning fundamentals - Good problem-solving skills In addition to the above qualifications, the following are preferred: - Experience with TensorFlow or PyTorch - Coursework or projects in ML/AI,

Role Overview: As an AI Developer at our company, you will play a crucial role in driving innovation in artificial intelligence and machine learning. Your responsibilities will include developing, deploying, and optimizing AI models for various applications. You will collaborate closely with data scientists, engineers, and business teams to ensure successful implementation of AI solutions. Key Responsibilities: - Proficiency in Python with experience in TensorFlow, PyTorch, and Scikit-learn, or other AI/ML frameworks. - Experience in NLP, Computer Vision, or Reinforcement Learning is preferred. - Strong background in data preprocessing, feature engineering, and model tuning. - Knowledge of cloud platforms such as AWS, GCP, and Azure for AI model deployment. - Familiarity with MLOps, CI/CD pipelines, and AI model monitoring. - Strong understanding of databases, APIs, and software development best practices. Soft Skills: - Strong analytical and problem-solving skills. - Ability to work both independently and collaboratively in a team. - Excellent communication and documentation skills. Qualification Required: - B-tech/M.C.A/M.sc in AI, Machine Learning, or a related field. - 3+ years of experience in AI/ML development. Company Details: Established in 1984, Pulsus is expanding its healthcare informatics platform globally. Pulsus has received endorsements from medical associations and industries internationally, gaining a strong reputation in the scientific and industrial community. The company bridges relations between industries and practicing physicians, aiming to provide valuable services to medical and pharma professionals worldwide. Salary: Best in the industry Industry: IT-Software / Software Services Role: AI Developer Employment Type: Full Time, Permanent Location: Gurgaon, Haryana Contact Details: Pulsus Healthtech LLP 6th Floor, Tower-B, Building 14, IT/ITES-SEZ DLF Cyber City Developers Ltd Sector 24 & 25A, DLF Phase-III Gurgaon, Haryana 122002 For job-related queries, contact: gurgaoncareers@pulsus.com For general queries, contact: contact@pulsus.com Phone: 01246262700,

As a Data Science Lead, your role will involve leading a team of data scientists, overseeing machine learning solution development, and translating complex business challenges into data-driven insights and models. You will be responsible for mentoring the team, planning and managing projects, designing and deploying ML systems, staying updated on AI/ML advancements, driving innovation in generative AI and LLM projects, collaborating with cross-functional teams, and presenting insights to clients and stakeholders. Key Responsibilities: - Lead and mentor a team of data scientists and interns, fostering growth and technical excellence. - Plan, prioritize, and manage projects aligned with organizational goals. - Design, develop, and deploy end-to-end ML systems from data acquisition to model production. - Stay ahead of AI/ML advancements and implement state-of-the-art research into practical applications. - Drive innovation in generative AI and large language model (LLM) projects. - Collaborate cross-functionally with business and technical teams to identify opportunities and deliver impactful solutions. - Present insights, findings, and recommendations to clients and stakeholders in a clear and effective manner. Required Skills: - 7+ years of experience in Data Science, Machine Learning, or related fields. - Proven experience managing senior and junior data scientists in a fast-paced environment. - Strong leadership and project management skills. - Hands-on expertise in Python, object-oriented programming, and data structures/algorithms. - Solid understanding of statistics, probability, and applied mathematics. - Proficiency with ML/DL libraries such as Scikit-learn, TensorFlow, Keras, PyTorch. - Deep experience with ML algorithms including Regression, Gradient Descent, Decision Trees, and SVM. - Proven expertise with Transformer architectures and Large Language Models (LLMs). - Experience building LLM applications using frameworks such as LangChain and LlamaIndex. - Ability to interpret and implement advanced ML research papers into production-ready solutions. - Strong communication skills and comfort in presenting to clients and leadership teams. Preferred Skills: - Experience with cloud ML platforms (AWS, GCP, or Azure). - Familiarity with MLOps tools for model deployment and monitoring. - Prior experience in AI strategy or product innovation initiatives.,

Role Overview: As a Retail Specialized Data Scientist at Level 9 in the SnC GN Data & AI team, you will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to support data-driven decision-making in the retail sector. Your role will involve collaborating with various teams such as marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should possess experience in retail analytics and demonstrate the ability to transform data into actionable insights. Key Responsibilities: - Leverage Retail Knowledge: Utilize your in-depth understanding of the retail industry, including merchandising, customer behavior, and product lifecycle, to design AI solutions that cater to crucial retail business requirements. - Gather and clean data from diverse retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms such as classification, clustering, regression, and deep learning to improve predictive models. - Utilize AI-driven techniques for personalization, demand forecasting, and fraud detection. - Implement advanced statistical methods to optimize existing use cases and develop new products to address emerging challenges and use cases. - Stay abreast of the latest trends in data science and retail technology. - Collaborate effectively with executives, product managers, and marketing teams to translate insights into actionable business strategies. Qualifications Required: - A solid understanding of retail industry dynamics, encompassing key performance indicators (KPIs) like sales trends, customer segmentation, inventory turnover, and promotions. - Strong communication skills to convey complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. - Attention to detail to ensure data quality, accuracy, and consistency while handling large, complex datasets. - Proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). - Expertise in supervised and unsupervised learning algorithms. - Minimum 3 years of experience in the field. - Educational background in Data Science, Statistics, Computer Science, Mathematics, or related disciplines. Note: The job description does not include any additional details about the company.,

As an AI Engineer at OSTTRA India, you will be part of the OSTTRA Technology team responsible for building, supporting, and protecting applications in the Capital Markets domain. The technology landscape encompasses high-performance, high-volume applications and compute-intensive applications utilizing modern microservices and cloud-based architectures. **Key Responsibilities:** - Develop and implement machine learning models for risk assessment, fraud detection, trade prediction, and operational efficiency. - Explore and apply generative AI techniques for data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts. - Collaborate with experienced AI engineers, data scientists, and software developers to integrate AI models into existing systems and build new AI-powered applications. - Contribute to the full software development lifecycle, including design, coding, testing, and deployment while adhering to best practices and industry standards. - Analyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions. - Stay updated with the latest research and trends in traditional machine learning and generative AI. - Communicate technical concepts and findings effectively to both technical and non-technical audiences. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Strong understanding of fundamental AI/ML concepts such as supervised/unsupervised learning, deep learning, and natural language processing. - Experience with Python and relevant AI/ML libraries like scikit-learn, TensorFlow, and PyTorch. - Familiarity with generative AI models and frameworks including transformers and GPT. - Proficiency in software engineering principles, data structures, algorithms, and databases. - Excellent analytical, problem-solving, communication, and collaboration skills. - Ability to work independently and as part of a team effectively. In addition to the technical aspects, OSTTRA is a market leader in derivatives post-trade processing, offering Credit Risk, Trade Workflow, and Optimisation services. OSTTRA, formed in 2021, is a joint venture between S&P Global and CME Group, with a focus on developing critical market infrastructure and supporting global financial markets. By joining OSTTRA, you will have the opportunity to contribute to a pioneering business with a strong heritage in financial technology. For more information on benefits and opportunities, visit www.osttra.com.,

As a Data Scientist at our company, you will play a crucial role in transforming operations with actionable insights and advanced data analytics techniques in the transportation and logistics and fleet management domain. Your responsibilities will include: - Working with the business team to understand data sources and perform detailed Exploratory Data Analysis (EDA) to assess data quality and completeness. - Designing, implementing, and maintaining robust data preparation pipelines for Machine Learning (ML) models based on manufacturing datasets. - Analyzing structured and semi-structured datasets to identify trends, anomalies, and improvement opportunities. - Conducting ad-hoc analysis using statistical and machine learning algorithms to meet business requirements. - Collaborating effectively in a global, cross-functional team following agile methodologies. Qualifications required for this role are as follows: - B.E / B.Tech or equivalent in Computer Science, IT, or a related field. - Immediate Joiner Preferred. - At least 3 years of experience in Data Science with a strong expertise in Machine Learning. - Hands-on experience in building scalable and deploying ML solutions. - Proven expertise in working with datasets in transportation, logistics, or fleet management domains. - Experience in projects involving key performance indicators (KPIs) such as route efficiency, fuel usage, delivery time, fleet utilization, etc. - Knowledge of building recommendation systems and personalization algorithms using traditional ML models. - Proficiency in Python, SQL, and ML libraries like scikit-learn, pandas, etc., along with Object-Oriented Programming (OOPs) concepts. - Experience with cloud platforms, with preference for Azure. Join us in driving innovation and making a difference in the transportation and logistics industry!,

Role Overview: The Data Science Analyst role within the GWFO team involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. As a Data Science Analyst, you will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends, providing insights to enhance business decision-making capabilities in areas such as business planning, process improvement, and solution assessment. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. - Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities, focusing on cutting-edge AI technologies. - Work closely with internal and external business partners to build, implement, track, and improve decision strategies. - Appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation and compliance with applicable laws and regulations. Qualifications Required: - 7+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, being organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Good Communication and presentation skills. Education: - Bachelors/University degree or equivalent experience. This job description provides a comprehensive overview of the Data Science Analyst role within the GWFO team. Other job-related duties may be assigned as required.,

Role Overview: You will be joining EY FABERNOVEL as a Data Product Owner Senior, specializing in data and AI projects. Your role will involve preparing, coordinating, and overseeing the implementation of projects from conception to delivery, focusing on innovative and data-driven solutions. You will play a central role in project orchestration and act as the primary point of contact between technical teams (Data engineers, Data scientists, Machine Learning Engineers, Software Engineers), business teams, and clients. Key Responsibilities: - Framing data/AI requirements: - Collecting requirements: Understanding and gathering clients" data analysis and visualization needs. - Facilitating design workshops with stakeholders to identify data and AI use cases. - Defining and drafting functional specifications/User Stories and ensuring alignment with business and technical objectives. - Monitoring design and development: - Collaborating with data engineers and data scientists to ensure solution quality and feasibility. - Participating in technical workshops to ensure smooth integration of data pipelines, AI models, and APIs. - Overseeing the lifecycle of AI/data products, from prototyping to industrialization (MVP, POC, production deployment). - Agile project management: - Leading and coordinating the project team using agile methodologies (Scrum, Kanban). - Tracking deliverables, schedule, budget, and deadlines. - Utilizing management tools such as JIRA, Confluence, or equivalent alternatives. - Quality and performance: - Ensuring deliverables comply with defined quality standards (model accuracy, scalability of pipelines, operational efficiency). - Delivering data-driven solutions that meet clients" business value expectations while ensuring robustness and maintainability. - Client management: - Acting as the primary client contact for data/AI projects. - Maintaining smooth and transparent communication with clients throughout the project. - Ensuring strategic alignment between client objectives and delivered solutions. Qualification Required: - Bachelor's degree in Engineering, Computer Science, or a data/AI-related field, with a minimum of 5 years of experience in managing data or AI projects, ideally in an Agile environment. - Expertise in data and AI: - Good understanding of data and AI tools and concepts: data pipelines, machine learning, big data, data visualization, cloud computing (Azure, AWS, GCP). - Familiarity with methodologies and frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalents. - Understanding of concepts like data lakes, ETL pipelines, or AI model industrialization. - Product management skills: - Ability to translate business needs into clear and feasible data-driven solutions. - Knowledge of specific KPIs in the data domain (model quality, accuracy, processing cost, computation time, ROI of AI projects). - Excellent communication skills: capable of simplifying complex concepts for non-technical stakeholders. - Proficiency in professional English for interacting with international clients and teams. - Additional qualifications: - Agile certification (Scrum Product Owner, SAFe, etc.). - Experience in using or managing BI tools (PowerBI, Tableau) or data visualization. Company Details (if applicable): EY Consulting, in collaboration with FABERNOVEL, is dedicated to guiding clients through digital and ecological transitions to create a more sustainable future. By leveraging a combination of individual talents and cutting-edge methodologies, EY FABERNOVEL empowers clients to develop products tailored to their business needs. With expertise in Design for a sustainable future, Digital Data & AI Engineering, and Digital & Data-Driven Marketing, the company strives to accelerate transitions towards a more sustainable and digitally advanced future.,

As a Data Scientist + Junior Instructor at Newton School of Technology located in Pune, you will play a crucial role in redefining tech education in India. Newton School, supported by global investors like RTP Global, Nexus, and Kunal Shah, is dedicated to bridging the employability gap for millions of graduates by building a Tech Institute. Collaborating with Rishihood University, Ajeenkya DY Patil University, and S-VYASA University, we aim to nurture the next generation of industry-ready tech leaders. **Key Responsibilities:** - Teach Applied AI/ML: Design and deliver hands-on courses in AI/ML covering Python, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, and GenAI. - Develop Industry-Relevant Curriculum: Assist in designing and updating the AI/ML curriculum to incorporate current industry tools, techniques, and best practices. - Mentor Student Projects: Provide technical guidance, code reviews, and feedback to students working on AI/ML projects. - Guide & Mentor Students: Advise students on skill development, career paths in AI/ML, and preparation for internships and job opportunities. - Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom. - Collaborate: Work closely with faculty and staff to enhance the learning experience. - Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications. **Required Qualifications and Experience:** - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field (PhD preferred but not mandatory). - 3-6 years of hands-on experience in roles like AI/ML Engineer, Data Scientist, or Research Scientist. - Proven track record in building, training, and deploying machine learning models for real-world problems. - Strong understanding of core ML algorithms, model evaluation, statistics, and awareness of industry trends. - Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. **Required Skills:** - Technical: Expert-level Python programming, proficiency in Pandas, NumPy, Scikit-learn. - Hands-on experience with ML/DL frameworks like TensorFlow, PyTorch. - Strong SQL and data handling skills, knowledge of ML Ops practices and tools. - Understanding of key AI areas such as NLP, Computer Vision, Generative AI. - Soft Skills: Effective communication, mentoring ability, collaboration, and passion for education. **Good to Have:** - Prior teaching experience at undergraduate or graduate levels. - Familiarity with modern teaching methodologies and academic tools. In addition to a competitive salary package, you will have access to cutting-edge labs and classroom facilities, along with the opportunity to contribute to innovative academic work in collaboration with Newton School of Technology and Rishihood University. As a Data Scientist + Junior Instructor at Newton School of Technology located in Pune, you will play a crucial role in redefining tech education in India. Newton School, supported by global investors like RTP Global, Nexus, and Kunal Shah, is dedicated to bridging the employability gap for millions of graduates by building a Tech Institute. Collaborating with Rishihood University, Ajeenkya DY Patil University, and S-VYASA University, we aim to nurture the next generation of industry-ready tech leaders. **Key Responsibilities:** - Teach Applied AI/ML: Design and deliver hands-on courses in AI/ML covering Python, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, and GenAI. - Develop Industry-Relevant Curriculum: Assist in designing and updating the AI/ML curriculum to incorporate current industry tools, techniques, and best practices. - Mentor Student Projects: Provide technical guidance, code reviews, and feedback to students working on AI/ML projects. - Guide & Mentor Students: Advise students on skill development, career paths in AI/ML, and preparation for internships and job opportunities. - Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom. - Collaborate: Work closely with faculty and staff to enhance the learning experience. - Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications. **Required Qualifications and Experience:** - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field (PhD preferred but not mandatory). - 3-6 years of hands-on experience in roles like AI/ML Engineer, Data Scientist, or Research Scientist. - Proven track record in building, training, and deploying machine learning models for real-world problems. - Strong understanding of core ML algorithms, model evaluation, statistics, and awareness of industry trends. - Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. **Required Skills:** - Technical: Expert-level Python programming, proficiency in Pandas, Num

As a Quantitative Researcher at a leading global quant investment firm in Gurgaon, your role involves researching, testing, and implementing systematic alpha signals across global markets. You will apply advanced statistics, optimization, and machine learning to financial data, working end-to-end on ideas from hypothesis to data cleaning, backtesting, and live deployment. Collaboration with global teams of researchers and engineers to scale the research infrastructure is a key aspect of your responsibilities. Key Responsibilities: - Research, test, and implement systematic alpha signals across global markets. - Apply advanced statistics, optimization, and machine learning to financial data. - Work end-to-end on ideas from hypothesis to data cleaning, backtesting, and live deployment. - Collaborate with global teams of researchers and engineers to scale the research infrastructure. Qualifications Required: - Degree in Computer Science, Mathematics, Statistics, Physics, or Engineering from a top university (IIT, IISc, ISI, CMI, BITS, IIIT). - Strong programming ability in Python (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow). - Deep understanding of statistical modeling, ML algorithms, and data analysis. - Passion for solving real-world problems through data-driven research. - 5 years of experience in quant research, ML, or data science; internships in trading, hedge funds, or top product firms are a plus. The unique aspects of this opportunity include a research-driven culture with academic rigor and freedom to test your own ideas, exposure to global markets, datasets, and advanced research infrastructure, a flat hierarchy, high-impact roles, and a collaborative team environment. If you are passionate about turning data into decisions, thrive on curiosity and rigor, and seek to work in a true quant-first environment, this role offers an exciting opportunity for you.,

In this role at GlobalLogic, you will take a lead position in solving complex real-world challenges across diverse domains by designing, developing, and deploying transformative AI solutions. You will have the opportunity to own internal AI product development, guide client-facing initiatives, and shape the technical direction of AI capabilities. This is an ideal position for a hands-on practitioner and strategic thinker who thrives in dynamic environments and is passionate about advancing the state of AI. **Key Responsibilities:** - Lead the end-to-end design, development, and deployment of cutting-edge NLP and Generative AI systems using Large Language Models (LLMs) to address business-critical challenges. - Research and implement state-of-the-art AI techniques, including RAG architectures, fine-tuning (PEFT, LoRA), Agentic AI systems, and multi-modal models. - Architect and maintain robust, production-grade pipelines for model training, deployment, monitoring, and automated retraining ensuring system reliability and efficiency. - Identify and mitigate issues such as hallucination, bias, and latency. Develop and enforce guardrails, observability metrics, and safety protocols to ensure fair, reliable, and compliant AI solutions. - Optimize inference performance through quantization, model distillation, and efficient pipeline design to reduce latency and operational costs. - Partner with cross-functional teams, clients, and stakeholders to define requirements, translate business needs into technical deliverables, and deliver tailored AI-powered solutions. - Mentor junior data scientists, promote best practices in AI/ML development, and contribute to a culture of continuous innovation and learning. **Qualification Required:** - 4+ years of hands-on experience in Data Science, AI/ML, or related fields, with a proven record of delivering production-grade NLP and Generative AI solutions. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA, Mistral) and hands-on experience with advanced fine-tuning methods such as PEFT, LoRA, and prompt engineering. - Strong expertise in designing and implementing Retrieval-Augmented Generation (RAG) systems using vector databases like Pinecone, Chroma, FAISS, or similar. - Expert-level skills in Python and major ML libraries such as PyTorch, TensorFlow, Hugging Face, and Scikit-learn. Familiarity with backend frameworks (e.g., Flask, Django) for API development is highly desirable. - Practical experience applying MLOps principles, including containerization (Docker, Kubernetes), CI/CD automation, and deploying scalable AI systems on AWS, GCP, or Azure. - Strong problem-solving, analytical, and research abilities, with the capacity to work independently, manage multiple priorities, and deliver innovative solutions in ambiguous environments. - Must possess any graduation degree (Must have Provisional Certificate & Consolidated Marks Memo). - Must be willing to work from office & in rotational shifts (5 Working Days & 2 Week Offs). - Must be ready to join immediately.,