55 Classification Jobs

Application Deadline: 12 July 2025 Department: Drafting and Design Employment Type: Full Time Location: Pune, MH, India Description Equinox Design Engineering Ltd., a leading EPCM firm headquartered in Calgary, specializes in oil and gas processing, providing comprehensive services in facilities design, implementation, and operational support for natural gas, conventional, and heavy oil projects. Our clientele includes major oil and gas producers in canada and globally, and we are actively engaged in diverse sweet gas, sour gas, conventional oil, heavy oil facility, and pipeline projects. Job Overview The Electrical Designer is responsible for the preparation of all electrical deliverables in the Drafting and Design Department. These include area classification drawings, single line diagrams, grounding layouts, wiring diagrams, panel drawings, schematics, schedules, cable tray layouts and associated 3D models. Key Responsibilities •Prepare high quality design drawings in a timely and efficient manner. •Produce drawings for the various disciplines of the company, including Electrical, Instrumentation and Automation. •Types of drawings include Area Classification, EHT drawings, PLC schematics drawings, Grounding, Single Line Diagrams, Schematics, Schedules, Panel Drawings, Junction Box Drawings, and As-Builts •Prepare drawing indexes, typical drawing, and bill of materials. •Effectively communicate the status of tasks, design changes and continuous improvement items to the rest of the team. •Maintain proficiency with the most up to date drafting software. Skills, Knowledge and Expertise •Good English communication and understanding ability – directly communicate with Canadian /Australian Clients. •Shall be self-driven, with minimum supervision. •Post secondary education such as Engineering Design and Drafting •Proficient with AutoCAD •Working knowledge of 2D & 3D modelling using Bentley Auto Plant/Cad Worx/SP3D/PDMS •Fundamental computer skills, including Microsoft Word and Excel •Solid understanding of the oil and gas industry with EPCM design experience •Highly motivated team player with excellent communication skills •Ability to work in a fast-paced deadline driven environment. Education and Qualifications Engineering Design and Drafting Diploma or Electrical Engineering Technology Diploma 5+ years’ of EPCM experience. Registered member of ASET. Our People and Culture: Flexible Work Schedules for a healthy work-life integration. Abundant growth opportunities, mentorship programs, and continuous learning initiatives. Our Environmental Commitment: Equinox believes in a balanced energy future. Our projects, from Carbon Capture and Sequestration to Renewable Natural Gas, exemplify our commitment to an environmentally responsible energy sector. Equinox Success Statement: Equinox consistently delivers focused and experienced premium teams, custom-tailored with the best technical expertise to align seamlessly with client culture and requirements. Our commitment ensures the successful execution of projects on a repeatable basis.

Required qualification/skillset Minimum of 3-5 years of experience in performing Customs HTS and ECCN classification. Preferable to have a bachelors degree in engineering Electronics, Chemicals or Mechanical stream or Masters in Biochemistry. Additional qualification in International Trade, Customs classification process is preferable. Exposure to Global countries Harmonized Tariff Schedule is advantageous. Customs Classifiers certification preferred. Excellent analyzing computer skills including data entry, PC, Windows, database and Excel spreadsheet. Desirable to be able to interpret EBOM, understand the Engineering drawings & Specifications. Experience in classifying electronic items, Biological, chemicals and Mechanical items is highly desirable. What you’ll do: Research and assign required classification to company's relevant items, including raw materials, intermediate products, packaging, finished goods and equipment. Classification SOPs must be followed to ensure that all relevant General Rules of Interpretation, General Notes and Custom Rulings are properly cited, and that records are maintained reflected drawings, technical information or and other supporting data used to achieve a high level of classification accuracy. Utilizing BOM and other information and engineering systems to assist in identifying the form, fit and function of products to arrive at accurate HTS and ECCN classification.

We are looking to hire a Cyber Security Engineer with strong analytical skills and a comprehensive understanding of cybersecurity principles. The ideal candidate will have hands-on experience in web application, network security and hardware security with the ability to identify vulnerabilities, execute penetration tests, and recommend effective mitigations. The role requires an individual who is detail-oriented, able to work under pressure, and capable of delivering results within tight deadlines. Responsibilities: Conduct web application penetration testing using established methodologies (e.g., OWASP). Perform network penetration testing and identify system-level vulnerabilities. Conduct hardware-level security assessments and penetration tests on embedded systems, PCBs, SoCs, firmware, and IoT devices. Perform side-channel analysis, fault injection, and reverse engineering of hardware and firmware. Analyze firmware images for vulnerabilities using both static and dynamic methods. Analyse existing security measures and recommend improvements. Document findings, provide detailed risk assessments, and deliver remediation strategies. Advise on and implement security best practices across applications and infrastructure. Collaborate with development and infrastructure teams to ensure secure design and implementation. Stay current with evolving threats, vulnerabilities, and mitigation techniques. If experienced, conduct mobile application penetration testing (preferred, not mandatory). Requirements: A degree in computer science, IT, systems engineering, or related qualification. Core experience and profound knowledge in application and infrastructure security testing. Strong understanding and hands on experience on application and infrastructure vulnerabilities, automated/manual testing, auditing and remediation techniques. Strong understanding of OWASP Threats classification Experience with standard security tools such as Metasploit, SQLMap, Nmap, OWASP ZAP, Burp Suite etc. Experience with network/infrastructure vulnerability assessment tools such as Nessus, Qualys etc. Experience with establishing penetration testing procedures and processes. Proficiency in any one of the scripting languages like Python, C++, Java, Ruby, Node, Go, and/or Power Shell Ability to work under pressure in a fast-paced environment. Strong attention to detail with an analytical mind and outstanding problem-solving skills. Great awareness of cybersecurity trends and hacking techniques. Good to have: Understanding of server and client-side application development. Experience with performing code review, wireless and firewall assessments. Experience in evasion techniques to bypass firewalls and intrusion detection systems. Experience with Mobile Application Penetration testing, APIs etc. Knowledge in Application Architecture Review, Threat Modelling concepts Security Certifications: OSCP, OSEE, OSCE etc.

Role- Data Scientist Job Description Need Both theoretical and practical idea about basic data science algorithms of Regressing, Clustering, Classification, Natural Language processing, Deep Learning, time series forecasting. Also, must have a clear idea about the applicability of those. Should be very through about the deep learning concepts of CNN, RNN, Transformer models Should be able to create chain of serverless multimodal architecture, consisting of many AI models in the chain Must be strong in python programming, Model training and testing Must know one of the ML OPS technology either of the following Cloud Offering Azure, AWS or Google

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership , and technical proficiency across classical machine learning, deep learning, and generative AI . You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions. Roles & Responsibilities Key Responsibilities Pre-Sales & Client Engagement Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions. Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients. Translate complex client requirements into actionable project scopes, estimates, and technical proposals. Leadership & Team Management Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers. Establish best practices in solution design, code reviews, model validation, and production deployment. Drive the strategic roadmap for AI initiatives,ensuring alignment with organizational goals and market trends. Classical Machine Learning & Statistical Modeling Apply classical machine learning techniques (e.g.,regression, clustering, decision trees, ensemble methods) to solve diverse business problems. Design and optimize data pipelines, feature engineering processes, and model selection strategies. Ensure robust model evaluation, tuning, and performance monitoring in production environments Deep Learning & Generative AI Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems. Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services. Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances. Project Delivery & MLOps Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance. Implement MLOps best practices (CI/CD,containerization, model versioning) on cloud or on-premise infrastructures. Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems. Stakeholder Management & Communication Serve as a key technical advisor to executive leadership, product managers, and client teams. Communicate complex AI/ML findings in clear,actionable terms to both technical and non-technical audiences. Advocate data-driven decision-making and foster a culture of innovation within the organization. Required Qualifications Education & Experience Masters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred. 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity. Technical Expertise Pre-Sales : Demonstrated experience in client-facing roles, solutioning, and proposal development. Classical ML : Skilled in traditional algorithms (regression, classification, clustering, etc.) and statistical methods. Deep Learning : Hands-on expertise with frameworks (e.g., TensorFlow, PyTorch) for CNNs, RNNs, transformer architectures, etc. Generative AI : Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models. MLOps : Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP). Leadership & Communication Proven ability to mentor and lead data science/ML engineering teams to meet project goals. Exceptional communication skills for presenting to clients, stakeholders, and executive leadership. Experience in agile methodologies and project management, balancing multiple projects simultaneously. Preferred / Bonus Skills Experience in big data ecosystems (Spark, Hadoop) for large-scale data processing. Background in NLP , computer vision , or recommendation systems . Knowledge of DevOps tools (Jenkins, GitLab CI, Terraform) for infrastructure automation. Track record of published research or contributions to open-source AI projects. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

We are seeking a candidate with strong working experience in both Data Scientist . The ideal candidate must have utilized Azure services related to data, data engineering, and machine learning. PAN India. Machine Learning 7+ years of relevant experience Experience in handling ETRM projects. Good understanding of Power Trading concepts Must have good experience in implementing machine learning models such as Prophet, ARIMA, SARIMA, XGBoost, ElasticNet, Ridge, Lasso, Random Forest, and Linear Regression on time-series data. Proficient in using Python ML packages such as scikit-learn, sktime, and darts. Must have strong expertise in key techniques for time series feature engineering, including lag features, rolling window statistics, Fourier transforms, and handling seasonality. Proven ability to tune the performance of existing deployed forecasting models. Must have experience with Azure Machine Learning Python SDK v1/v2 to: Manage data, models, and environments Build/debug AML pipelines to stitch together multiple tasks (feature engineering, training, registering models, etc.) and production workflows using Azure ML pipelines Schedule Azure ML jobs Deploy registered models to create endpoints. Good to have experience with K-Means clustering.

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 10-15 years of overall experience, including at least 3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project lifecycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 4 years experience in GenAI and LLM with overall 10-15 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

osition Summary As a Staff Data Scientist at Walmart Global Tech, you will lead complex data science initiatives that drive actionable insights and scalable solutions across Walmart's retail and finance divisions. You will oversee the end-to-end lifecycle of multiple machine learning projectstranslating business needs into analytical solutions, developing advanced AI/ML models, and deploying them to production at scale. This role demands a blend of deep technical expertise, strategic leadership, and cross-functional collaboration to accelerate Walmart's data-driven transformation. About the EBS Team Enterprise Business Services (EBS) builds robust technology and service solutions for Walmart's finance, people, and digital experience functions. The Data Science team within EBS applies cutting-edge machine learning, statistical analysis, and optimization techniques to solve critical business problems. We leverage petabytes of data and work closely with engineering teams to build scalable ML pipelines and reference architectures that optimize operations, enhance customer experiences, and innovate business practices. What You Will Do Lead and execute multiple data science projects involving advanced statistical modeling, machine learning, and AI aligned with business priorities. Design, build, and deploy scalable ML and AI models for fraud detection, forecasting, inventory management, price optimization, and recommendation systems. Collaborate with data engineers, business partners, and product teams to gather requirements, validate data quality, and translate insights into business actions. Serve as a technical leader and mentor to data scientists across sub-domains, ensuring timely delivery and adoption of ML best practices and MLOps. Drive innovation in AI/ML methodologies, including Gen-AI applications such as embedding generation, vector search, LLM agent development, and prompt engineering. Evaluate and prioritize business cases, identify gaps and opportunities, and propose scalable data-driven solutions. Partner with senior management to shape the data science strategy and domain-wide efficiency improvements. What You Will Bring Educational Qualifications: Master's degree with 10+ years, or Ph.D. with 8+ years of relevant experience in Computer Science, Statistics, Mathematics, or related field. Technical Expertise: Proven experience as a technical lead managing multiple data science projects end-to-end. Deep knowledge of ML techniques including classification, regression, NLP, forecasting, unsupervised learning, graph ML, causal inference, and experimentation. Hands-on experience with Gen-AI technologies: embedding generation, vector databases, LLM gateways, retrieval-augmented generation, model tuning, and monitoring. Proficient in Python, PySpark, R, and experience with big data platforms like Hadoop, Hive, Scala. Familiarity with cloud platforms (Google Cloud Platform, Azure), Vertex AI, Kubeflow, and GPU/CUDA acceleration for scalable ML deployment. Leadership & Collaboration: Strong communication skills with ability to influence stakeholders and guide technical teams. Ability to drive data science adoption, promote best practices, and foster innovation across multiple teams. Why Walmart Global Tech Join a global leader that empowers you to innovate at scale, impacting millions of customers worldwide. Work in a hybrid, flexible environment that values diversity and fosters belonging. Develop your career alongside industry experts and leverage the latest technology to redefine retail. Minimum Qualifications Bachelor's degree in a related field with 4+ years analytics experience, or Master's degree with 2+ years analytics experience, or 6+ years of experience in analytics or related field.

Position Summary A senior leadership role on Walmart's Marketplace Data Science team focused on applying advanced AI/ML techniques at scale to drive business growth and operational efficiency across multiple countries. About the Team The Data Science team develops and deploys machine learning models and pipelines in a big data ecosystem. They collaborate closely with engineering, product, and business teams. The focus is on cutting-edge ML, statistics, optimization, and emerging AI technologies. What You'll Do Lead innovative AI/ML solutions at scale with rapid deployment. Develop advanced statistical and computational models based on business needs. Collaborate with senior leadership to define Marketplace strategy. Guide data gathering, validate data, and synthesize analytics datasets. Mentor and manage data scientists and analysts across global teams. Use big data and advanced analytics to identify trends and drive insights. Build, train, deploy, and maintain AI/ML models and pipelines. Communicate insights and recommendations effectively to business stakeholders. Act as a thought leader on algorithm-driven business actions. Oversee timely delivery of ML products and ensure adherence to MLOps best practices. Drive innovation in multi-lingual and multi-modal AI models, including computer vision. Translate complex business problems into scalable analytical solutions. Quantify business impact and continuously measure ML product effectiveness. Collaborate globally to enhance customer experience and business results. Promote company values and ethical standards. What You'll Bring Education: PhD (preferred), or Master's (17+ years experience), or Bachelor's (20+ years experience) in Computer Science, Statistics, Mathematics, or related. Experience: 14 years relevant experience, with >10 years as a technical lead. Proven track record in leading end-to-end data science projects at large scale (billions of data points). Technical Expertise: Strong ML experience (supervised/unsupervised, NLP, classification, deep learning, generative AI). Computer Vision (image processing, object detection, CNNs). Advanced ML techniques: forecasting, optimization, causal inference, recommendation systems, Graph ML. Experience with large-scale big data analytics. Expertise with LLMs, VLMs, embeddings, vector databases, RAG, prompt engineering, model tuning. Proficiency in Python, PySpark, OpenCV, C++, TensorFlow, PyTorch. Familiarity with big data platforms (Hadoop), cloud platforms (Google Cloud, Vertex AI), MLOps tools (Kubeflow, Kafka, CI/CD). Minimum Qualifications Bachelor's + 6 years in analytics or related field OR Master's + 4 years OR 8 years analytics experience (without degree) Preferred Qualifications Not explicitly listed, but implied are leadership, scale, and advanced technical skills. About Walmart Global Tech Focused on impacting millions with technology. People-led, tech-empowered culture. Opportunities for career growth and innovation. Flexible hybrid work environment. Comprehensive benefits and inclusive culture.

About the Role We are seeking a talented and versatile AI Engineer to join our growing team in Gurugram. This role requires a strong foundation in Artificial Intelligence and Machine Learning with practical experience across a diverse range of AI domains, including Computer Vision, Natural Language Processing (NLP), Machine Translation, Classification, and Generative AI. The ideal candidate will be passionate about developing innovative AI solutions, possess excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI projects, from research and development to deployment. Key Responsibilities AI Solution Development & Deployment Design and build AI/ML models across domains like Computer Vision, NLP, Machine Translation, Classification, and Generative AI. Develop end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Write clean, efficient, and well-documented code, primarily in Python. Domain-Specific AI Applications Computer Vision : Build solutions for image recognition, object detection, segmentation, and video analysis using tools like OpenCV, TensorFlow, and PyTorch. NLP : Implement text classification, sentiment analysis, NER, topic modeling, etc., using libraries such as spaCy and Hugging Face Transformers. Machine Translation : Develop and fine-tune neural translation models, and experiment with various translation techniques. Classification Models : Apply and evaluate machine learning classifiers on structured and unstructured data using standard algorithms. Generative AI : Explore use cases in text and image generation using GANs, VAEs, and transformer-based models. Model Evaluation & Optimization Measure model performance using relevant metrics and continuously optimize based on real-world data and feedback. Deploy AI models into production and ensure reliability at scale. Research & Innovation Stay abreast of advancements in AI/ML and contribute ideas for integrating cutting-edge technologies into projects. Experiment with new tools, frameworks, and methodologies to drive innovation. Collaboration & Communication Work closely with cross-functional teams including data scientists, engineers, and product stakeholders. Present technical insights clearly and contribute to peer reviews and team knowledge sharing. Qualification & Functional Skills Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum of 3+ years of hands-on experience in developing and implementing AI/ML models across multiple domains (Computer Vision, NLP, Translation, Classification, Gen AI). Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, OpenCV, NLTK, spaCy). Solid understanding of fundamental machine learning algorithms and concepts. Experience working with various types of data (image, text, structured data). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a plus. Experience with version control systems (e.g., Git). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration abilities.

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) principles across the organization. AI Risk & Compliance Management Align AI models with regulatory standards (e.g., GDPR, AI Act, CCPA, NIST AI RMF). Develop governance frameworks for model validation, auditing, and risk assessment . Collaborate with legal, compliance, and security teams to ensure AI transparency. AI Model Security & Reliability Implement guardrails against adversarial attacks, data poisoning, and model drift . Establish secure AI deployment standards to prevent unauthorized AI model access or misuse. Establish DevSecOps pipeline teams to integrate AI security best practices . Operationalization & AI Governance Define AI monitoring KPIs for continuous risk assessment and compliance tracking. Develop automated pipelines to flag high-risk AI behaviors and decision anomalies. Foster a culture of explainable AI (XAI) & transparency for AI-driven decision-making. Cross-functional Leadership & Innovation Partner with product, legal, and engineering teams to integrate AI guardrails into MLOps workflows . Stay ahead of AI regulatory trends, industry best practices, and emerging risks . Competencies Required Skills Education Skills (NOT TO BE USED)

Job Title: LiDAR Engineer Experience: 1+ Years Location: Hassan, Karnataka Employment Type: Full-time Job Summary: We are seeking a skilled LiDAR Engineer with 1+ years of hands-on experience in LiDAR. The ideal candidate should be proficient in both 2D and 3D mapping, advance, ground and powerline classification, and the classification of above-ground features. Key Responsibilities: Perform LiDAR data classification for T&D network projects. Execute 2D and 3D mapping and modeling with accuracy and efficiency. Classify terrain and above-ground features based on project requirements. Collaborate with the project team to interpret and analyze LiDAR data. Ensure timely delivery of high-quality classified datasets. Maintain documentation and support project reporting. Required Skills & Qualifications: Bachelors degree in Geomatics, Geospatial Engineering, Remote Sensing, or a related field. 1+ years of relevant experience in LiDAR classification projects ( Advance, Powerline and Ground ). Proficient in LiDAR processing software such as TerraScan, Terra Model, Terra Photo. Proficient in Microstation Connect Edition V8 Software

Strong proficiency in Python and/or R for data analysis and modeling. Advanced SQL skills for data querying and transformation. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, hypothesis testing, regression analysis, and data mining. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop) is a plus. Excellent problem-solving skills and attention to detail.

Requirements & Qualifications: Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline. Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning. 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare. Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning. Hands-on experience developing and deploying machine learning models in real-world applications. Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have. Familiarity with PySpark and Databricks is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.Role & responsibilities

Job description Role & responsibilities Design and develop AI architectures that support high-performance, scalable AI and machine learning systems. Work with stakeholders to identify AI opportunities and translate business requirements into AI solutions. Lead the research and development of AI models, including natural language processing (NLP), computer vision, and deep learning techniques. Collaborate with data scientists, data engineers, and software engineers to develop, train, and deploy AI models. Ensure the efficient deployment of AI systems in production environments, ensuring robustness and scalability. Evaluate and recommend AI tools, frameworks, and best practices for effective AI development. Keep up to date with the latest advancements in AI and machine learning technologies and apply them to improve AI architecture. Conduct code reviews, troubleshoot, and optimize AI models and algorithms. Ensure compliance with data security, privacy, and ethical AI standards. Mentor and guide junior engineers and AI developers in best practices for AI model development. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. Preferred candidate profile Proven experience as an AI Architect, AI/ML Engineer, or a similar role. Team handling experience if having 5 years or plus experience. Excellent problem-solving skills with the ability to handle complex AI challenges. Strong expertise in machine learning algorithms, neural networks, and deep learning techniques. Strong communication skills to effectively interact with technical and non-technical stakeholders.

We are looking for a highly skilled and experienced Senior Data Scientist to join our team in Bengaluru. The ideal candidate will have 4-7 years of experience in data science, with a strong background in machine learning, deep learning, and natural language processing. ### Roles and Responsibility Develop and implement innovative AI solutions using Python and other programming languages. Collaborate with cross-functional teams to design and deploy scalable data pipelines. Conduct complex data analysis and provide actionable insights to stakeholders. Design and develop predictive models to drive business growth. Work closely with the Solution Architects on deploying AI POCs and scaling them up to production-level applications. Convert business problems into analytical problems and devise solution approaches. Clean, aggregate, analyze, and interpret data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Extract data from complex PDF/Word Docs/Form entities, tables, and information comparison. ### Job Requirements Excellent academic background in data science, statistics, or a related field. Strong proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. Experience with cloud-based platforms such as AWS or Azure is desirable. Strong understanding of statistical concepts and machine learning algorithms. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines. Solid background in Python with excellent coding skills. Minimum 4 years of core data science experience in one or more areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering), Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index, Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models), Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc., SQL/NoSQL Databases and its manipulation components, Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/gather/analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors.

We are looking for a highly skilled and experienced Tax Analyst to join our team in Bengaluru. The ideal candidate will have 1-3 years of experience in tax operations or a related discipline, with a strong background in finance and accounting. ### Roles and Responsibility Prepare indirect tax forms such as VAT and GST. Post journal entries and demonstrate knowledge of accounting concepts. Prepare W8 and W9 forms for tax form validations. Prepare 1099 and 1042S reporting for US. Deliver high-quality products within stipulated timelines. Manage projects and multitask on various projects. Comply with the firm's compliance procedures. Demonstrate fair knowledge of withholding tax and operational tax. Be willing to work on various countries' tax practices. Guide and assist new staff. Work with tax seniors to meet project deliverable timelines and contribute actively to creating a high-performing team. Demonstrate professionalism and poise in demeanor, attitude, communication, behavior, and interaction with others. Proactively identify issues and recommend solutions. ### Job Requirements Demonstrated ability to find information from EY and client resources efficiently. Effective written and oral communication skills. Preparation and review skills of Classification, Registration, Due Diligence, and Annual Reporting. Document all tasks, timelines, resources, and requirements to clarify scope and scale of projects. Assist seniors in managing clients and projects. Adhere to practice protocol and other internal processes consistently. Good analytical, verbal, and numerical skills. Good knowledge of MS Office applications like Word, Excel, and PowerPoint. A B.Com/MBA/Other Finance Master’s degree is required.

We are looking for a highly skilled and experienced Senior Data Scientist with 3 to 8 years of experience to join our team in Bengaluru. The ideal candidate will have a strong background in applied mathematics, statistics, or data science, with excellent presentation and communication skills. ### Roles and Responsibility Support the Lead Data Scientist and team members in solving problems, analyzing data, and finding solutions. Lead the design, development, and deployment of advanced statistical methods, data science/ML, and other quantitative techniques to solve complex business problems. Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations. Oversee and drive the lifecycle of statistical and AI/ML decision support solutions and products, ensuring successful and timely delivery. Present data-driven insights and strategic recommendations to senior management and key stakeholders. Develop and maintain large-scale data systems, including data pipelines, architectures, and governance frameworks. ### Job Requirements Bachelor's degree in applied mathematics, statistics, applied mathematics, physics, economics, or other quantitative fields; a master's degree is preferred. Minimum 3 years of experience in Statistics, AI/Machine Learning/Data Science in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance, etc.). Solid understanding of applied statistical modeling, applied math modeling, and ML techniques, including clustering, classification, regression, dimensionality reduction, ensemble methods, and natural language processing. Proficiency in programming languages such as Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Experience leading a team of Data Scientists, Data Analysts, or Data Engineers. Excellent presentation and communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

We are looking for a highly skilled and experienced SAP PLM Consultant to join our team. The ideal candidate should have 3-7 years of relevant experience in SAP PLM implementation, support, or rollout projects. ### Roles and Responsibility Configure and implement SAP PLM RD solutions. Plan and execute SAP Implementation, Development, and Support activities related to SAP - PLM. Understand client requirements and provide functional specifications to configure the system accordingly. Create presentation/workshop material for Blueprint and present it to clients. Develop Process Flows for clients' proposed business processes. Prepare Process Definition Document / Design Document (PDD) and Business Process Procedure (BPP) for provided solutions. ### Job Requirements Bachelor's degree in Engineering or equivalent experience. Minimum two end-to-end Implementation Projects with experience in Support/Rollout/Upgrade Projects. Strong knowledge of Business Processes, Implementation Methodology, Web-based Recipe Development, Specification management, and Guided Structure Synchronization. Experience in label management, WWI reports, DMS, Class and Classification, and collaboration tools. Domain experience is an added advantage. Knowledge on NPDI process and SAP PLM Certification is desirable. Knowledge on Integration Modules like QM / PP / SD is beneficial.

We are looking for a skilled Senior Consultant with 5 to 12 years of experience to join our Tax Technology practice in Bangalore, India. The ideal candidate will have a strong background in software engineering and information technology. ### Roles and Responsibility Assist project teams in estimating architecture design effort and developing/ reviewing/ approving architecture designs. Serve as a subject matter expert to program/project teams in the plan, design, and delivery of technical solutions. Lead the solution design and development of tax tools and technology solutions. Communicate effectively with senior IT leaders on program strategies and plans, negotiating quality solutions. Collaborate with cross-functional teams to deliver high-quality results. Develop and maintain technical documentation for tax technology projects. ### Job Requirements Bachelor's or Master's degree in Software Engineering, Information Technology, MBA, or MCA. 5-12 years of overall experience in Sap Global Trade Services (GTS). Experience in SAP GTS Customs management, including customs declarations, export and import processes, inward process, transit/presentation, bonded warehouse, electronic filing, and product classification. Hands-on experience with configuration settings in feeder systems like ECC/S4, including document types and master data. Strong understanding of business requirements and ability to design feasible technical solutions that address current needs without impacting future upgrades. Experience with Scrum and project management methodologies. Hands-on exposure to S4HANA is a plus.

We are looking for a skilled professional with 4 to 6 years of experience to join our team as a Global Delivery Services, Business Process Management Functional Analyst in Bengaluru. ### Roles and Responsibility Design and develop industry-specific process models to support client opportunities and accelerate project delivery. Support industry leaders and practitioners in designing and developing value chains and business process classification frameworks. Lead process modeling initiatives with minimal guidance and support. Serve as an ARIS subject matter expert on external engagements and provide project advisory support. Gather requirements and design processes with large groups of SMR’s and business teams. Create end-to-end process models using EPC and BPMN modeling standards. ### Job Requirements A Bachelor's degree in a related field is required; a Master's degree is preferred. Minimum 4 years of experience in ARIS software solutions, including business process management capability and process strategy. Expertise in quantitative/qualitative process analysis techniques, process metrics, and performance measurement. Experience in managing ARIS configuration, importing database content, and establishing measures for ensuring consistency of the ARIS database. Ability to work effectively in a team environment, proactively collaborating with others to complete projects. Strong communication and presentation skills, with the ability to conduct face-to-face and virtual trainings on ARIS platforms. Willingness to travel internationally if required.

We are looking for a highly skilled and experienced AI Engineer with 2 to 7 years of experience to join our team in Bengaluru. The ideal candidate will have a strong background in artificial intelligence, machine learning, and software engineering. ### Roles and Responsibility Design, develop, and deploy AI models and systems that align with business objectives. Conduct data analysis, pre-processing, and feature engineering to ensure high-quality input for AI algorithms. Train, evaluate, and optimize AI models using various machine learning algorithms and techniques. Implement scalable and efficient AI solutions in production environments, considering performance, latency, and reliability. Collaborate with AI and software engineers to integrate AI models into production systems and monitor their performance. Analyze and interpret AI model outputs, providing insights and recommendations to stakeholders. ### Job Requirements Deep understanding of AI and machine learning algorithms, including regression, classification, clustering, and deep learning. Proficiency in Python for AI model development, along with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms, preferably Azure, to deploy scalable AI solutions, and knowledge of distributed computing frameworks like Spark. Strong foundation in software engineering practices, including version control with Git, testing, documentation, and code review. Understanding of NLP techniques and frameworks such as Hugging Face's Transformers, BERT, GPT, or Transformer models, TensorFlow's NLP library, or spaCy for language-related AI applications. Experience with natural language processing (NLP) techniques and frameworks, and generative AI techniques, including prompt engineering and fine-tuning LLMs. Proficiency in data pre-processing, visualization, SQL, and big data technologies, along with strong skills in Python for AI model development and implementation. Knowledge of containerization tools like Docker and an understanding of responsible AI practices and data privacy. Generative AI Techniques: Knowledge and experience in Generative AI techniques, prompt engineering, vector database, LLMs such as OpenAI, Azure OpenAI, Open-source LLMs. Fine-tuning: Collaborate with the research and development teams to fine-tune large language models using prompts, ensuring the models produce accurate, contextually relevant, and safe responses. Model Evaluation and Optimization: Experience with model evaluation, hyperparameter tuning, and optimization techniques. Data Pre-processing and Visualization: Solid understanding of techniques for data pre-processing, feature engineering, and data visualization. Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP for scalable AI solutions. (Azure preferred) Distributed Computing: Knowledge of distributed computing frameworks, particularly Spark, for large-scale data processing. Version Control Systems: Proficient in using version control systems like Git for collaborative AI development. Troubleshooting and Debugging: Ability to troubleshoot and debug complex AI systems and models. Containerization: Knowledge of containerization tools like Docker for efficient deployment of AI solutions. Software Engineering Practices: Familiarity with software engineering practices, including testing, documentation, and code review.

We are looking for a skilled Senior Consultant with 5 to 12 years of experience to join our Tax Technology practice in Bengaluru. The ideal candidate will have a strong background in software engineering, information technology, or a related field. ### Roles and Responsibility Assist project teams in estimating architecture design effort and developing/ reviewing/approving architecture designs. Serve as a subject matter expert to program/project teams in the plan, design, and delivery of technical solutions. Lead the solution design and development of tax tools and technology solutions. Communicate effectively with senior IT leaders on program strategies and plans, negotiating quality solutions. Collaborate with cross-functional teams to deliver high-quality results. Develop and maintain expertise in SAP Global Trade Services (GTS) and related technologies. ### Job Requirements Bachelor's or Master's degree in Software Engineering, Information Technology, MBA, or MCA. 5-12 years of overall experience in Sap Global Trade Services (GTS). Experience in SAP GTS Customs management, including customs declarations, export and import processes, inward process, transit/presentation, bonded warehouse, electronic filing, and product classification. Hands-on experience with configuration settings in feeder systems like ECC/S4, including document types and master data. Strong understanding of technology tools such as SAP GTS Compliance Management, Sanction party list screening, Embargo, Product Classification, and Legal control. Experience with Scrum and project management methodologies. Proficiency in ERP, database, data analytics, and programming skills.

We are looking for a skilled professional with 5 to 12 years of experience to join our team as an Application Lead in GDS Tax Technology. The ideal candidate will have a strong background in software engineering and information technology, with expertise in SAP Global Trade Services (GTS) and hands-on experience with S4HANA. ### Roles and Responsibility Assist project teams in estimating architecture design effort and develop/review/approve architecture designs. Serve as a subject matter expert to program/project teams in the plan, design, and delivery of technical solutions. Lead the solution design and development of Tax tools and technology solutions. Communicate effectively with senior IT leaders on program strategies and plans, negotiating quality solutions. Collaborate with cross-functional teams to deliver high-quality results. Develop and maintain technical documentation for applications and systems. ### Job Requirements Bachelor's or Master's degree in Software Engineering, Information Technology, MBA, or MCA. 5-12 years of overall experience in Sap Global Trade Services (GTS). Hands-on experience with SAP GTS Customs management, including Export and Import processes, Inward Process, Transit/Presentation, Bonded warehouse, Electronic filing, and product classification. Experience with SAP GTS Compliance Management, including Sanction party list screening, Embargo, Product Classification, and Legal control (Export, Import). Strong understanding of technology tools such as SAP GTS Compliance Management and SAP GTS Customs management. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Ability to understand business requirements, design feasible technical solutions, and drive detailed application design in SAP applications by leveraging SAP standard solutions. Hands-on experience with configuration settings in Feeder systems (ECC/S4) like document types and master data. Gather application-specific project requirements, participate in pre-project launch discussions with architects, and drive detailed application design in SAP applications by leveraging SAP standard solutions wherever possible. Team player with people management skills. Scrum and Project management experience.