1965 Preprocessing Jobs - Page 24

Job Summary We are looking for a skilled and passionate AI/ML Engineer to join our team and contribute to designing, developing, and deploying scalable machine learning models and AI solutions. The ideal candidate will have hands-on experience with data preprocessing, model building, evaluation, and deployment, with a strong foundation in mathematics, statistics, and software development. Key Responsibilities Design and implement machine learning models to solve business problems. Collect, preprocess, and analyze large datasets from various sources. Build, test, and optimize models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Deploy ML models using cloud services (AWS, Azure, GCP) or edge platforms. Collaborate with data engineers, data scientists, and product teams. Monitor model performance and retrain models as necessary. Stay up to date with the latest research and advancements in AI/ML. Create documentation and reports to communicate findings and model Skills & Qualifications : Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, or related field. 2+ years of hands-on experience in building and deploying ML models. Proficiency in Python (preferred), R, or similar languages. Experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost. Strong grasp of statistics, probability, and algorithms. Familiarity with data engineering tools (e.g., Pandas, Spark, SQL). Experience in model deployment (Docker, Flask, FastAPI, MLflow, etc.). Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, GCP AI Platform). (ref:hirist.tech)

Job Title : AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning models for various business use cases. Analyze large and complex datasets to extract meaningful insights. Implement data preprocessing, feature engineering, and model evaluation pipelines. Work with product and engineering teams to integrate ML models into production environments. Conduct research to stay up to date with the latest ML and AI trends and technologies. Monitor and improve model performance over time. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Minimum 3 years of hands-on experience in building and deploying machine learning models. Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. Experience with training, fine-tuning, and evaluating ML models in real-world applications. Proficiency in Large Language Models (LLMs) including experience using or fine-tuning models like .BERT, GPT, LLaMA, or open-source transformers. Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. Strong communication skills and the ability to work collaboratively in cross-functional teams. (ref:hirist.tech)

Selected Intern's Day-to-day Responsibilities Include Data collection & cleaning: Assist in sourcing, cleaning, and preprocessing data from diverse platforms to ensure accuracy and usability Detect and resolve inconsistencies, missing values, and anomalies in datasets Exploratory Data Analysis (EDA): Perform exploratory analyses to identify key trends, patterns, and relationships within the data Leverage visualizations to interpret findings and effectively communicate insights to the team Model development & testing: Support the end-to-end development of machine learning models, including data preparation, feature engineering, and performance evaluation Gain hands-on experience with supervised and unsupervised learning techniques under mentorship Data visualization & reporting: Design and develop dashboards and reports to showcase analytical insights and model performance metrics Utilize tools such as Python (e.g., Matplotlib, Seaborn) or Power BI to build compelling visualizations Collaboration & documentation: Work closely with cross-functional teams to ensure data initiatives are aligned with business objectives Maintain thorough documentation of data workflows, analysis processes, and model outcomes About Company: Welcome to the forefront of technological education with the International Institute of Data Science and Technology (IIDST), India's premier platform for aspiring data scientists and web developers. IIDST stands as a beacon of excellence, offering a transformative learning experience in the dynamic realms of data science and web development. IIDST takes pride in its innovative "pay after placement" model, ensuring that students can invest in their education without the burden of upfront costs. This revolutionary approach reflects our confidence in the quality of our programs and underscores our dedication to students' success. Whether you aspire to unravel the mysteries of data science or master the intricacies of web development, IIDST is your gateway to a future where knowledge meets opportunity. Join us on this transformative journey and let IIDST empower you to lead the way in the ever-evolving landscape of technology.

Company Overview: Maxima Tek is a well-funded and rapidly growing company specializing in software solutions for software-defined vehicles, with over four million vehicles already on the road with top global OEM brands. They are at the forefront of automotive digital transformation and have a diverse team across various international locations. This is a hybrid position based in Sunnyvale, CA, requiring 3 days in the office. The Opportunity: Sonatus is seeking a highly motivated AI Engineer to drive software innovations for next-generation software-defined vehicles. The role focuses on customer-first product development and solving real-world problems. Key Responsibilities: Lead efforts to leverage existing AI models and frameworks to solve complex business challenges. Conduct the full data modeling and algorithm development lifecycle (modeling, training, tuning, validating, deploying, maintaining). Demonstrate strong domain expertise in various AI areas including LLM, Computer Vision, Time Series, RAG, fine-tuning large models, and traditional ML models. Stay current with industry trends and advancements in data science and AI. Perform data analysis and provide insights for business decisions. Ensure adherence to data privacy and security protocols. Collaborate with cross-functional teams to translate requirements into AI/data science solutions. Document and communicate technical designs, processes, and best practices. Manage projects to ensure timely completion in a dynamic environment. Requirements: Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or related field. Strong programming skills in Python, Java, or C++, with experience in TensorFlow, PyTorch, or scikit-learn. In-depth knowledge of current machine learning algorithms, AI technologies, and platforms. Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow) and SQL proficiency. Solid experience in data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with excellent problem-solving, communication (verbal and written), and collaboration skills. Experience in the automotive industry is highly desirable

See all the jobs at Srijan Technologies PVT LTD here: Senior/Lead Data Scientist Location: Gurugram, Haryana, India Department: Technology Type: Full-time | Partially remote Apply by: No close date About Us We turn customer challenges into growth opportunities. Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation, and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Job Summary We are seeking an experienced Data Scientist III to join our Expert Tagging team. This role is responsible for developing, optimizing, and supporting machine learning (ML) models that power expert and expertise recommendations. The ideal candidate will have expertise in ML model development, NLP, recommendation systems, and cloud-based ML pipelines within an AWS-based environment. Key Responsibilities Design, develop, and optimize ML models for expert and expertise recommendation using state-of-the-art techniques. Implement Natural Language Processing (NLP) algorithms for entity recognition, topic modeling, and semantic search. Develop and maintain ML pipelines for model training, evaluation, deployment, and monitoring in AWS. Work with structured and unstructured data, performing feature engineering and data preprocessing to improve model accuracy. Deploy and manage ML models using AWS SageMaker, Lambda, Step Functions, and API Gateway. Collaborate with data engineers and software developers to integrate ML models into production applications. Implement A/B testing and model performance evaluation metrics to ensure optimal model effectiveness. Optimize ML models for scalability, performance, and cost-efficiency in a cloud environment. Ensure ML solutions adhere to security, privacy, and compliance best practices. Stay up to date with emerging trends in ML, AI, and data science, continuously improving models and methodologies. What We Offer Professional Development and Mentorship. Hybrid work mode with a remote-friendly workplace. (6 times in a row Great Place To Work Certified). Health and Family Insurance. 40 Leaves per year along with maternity & paternity leaves. Wellness, meditation, and counseling sessions.

Key Responsibilities: • Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges • Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data • Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization • Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization • Create and maintain automated data pipelines for real-time analytics and reporting • Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance • Develop and deploy models in cloud environments while creating visualizations for stakeholders • Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: • Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field • At least 2 years of hands-on experience in data science, analytics, or machine learning roles • Demonstrated experience working with large datasets and statistical modeling • Proficiency in Python or R for data analysis and machine learning • Experience with SQL and database management systems • Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch • Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 • Experience with version control systems (Git) and collaborative development practices • Strong foundation in statistics, hypothesis testing, and experimental design • Experience with supervised and unsupervised learning techniques • Knowledge of data preprocessing, feature engineering, and model validation • Understanding of A/B testing and causal inference methods. What You’ll Need to Be Successful (Required Skills): • Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques • Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications • Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications • Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems • AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques • Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications • AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Company: Space Inventive Website: Visit Website Business Type: Enterprise Company Type: Product & Service Business Model: B2B Funding Stage: Pre-seed Industry: Software Development Job Description Key Responsibilities: Design, build, and deploy scalable NLP/ML models for real-world applications. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications 3+ years of experience in Python programming with strong understanding of ML pipelines. Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). Strong problem-solving and communication skills. Ability learn new tools, to work independently and collaboratively in a fast-paced environment Attention to detail and accuracy Preferred Skills. Theoretical knowledge of or experience in Data Engineering, Data Science, AI, ML, RPA or other related domains. Certification in Business Analysis or Project Management from a recognized institution. Experience in working with agile methodologies such as Scrum or Kanban Please find the below points for reference. Experience on Deep Learning and Transformer architectures and models Prompt Engineering ,training LLMs and GenAI pipeline preparation. practical experience in integrating LLM models like ChatGPT, Gemini, Claude etc with context aware capabilities using RAG or fine-tuning models. Model Evaluation & Alignment. Metrics to calculate the model’s accuracy. Data Curation from sources for RAG Preprocessing and development LLM Pipelines. Scalable Deployment and logging tooling. Must have skills like Flask, Django, FastAPI, APIs, Docker containerisation, Kubeflow. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA and also basic understanding of cost to performance tradeoffs

Job Title: AI Engineer (Contract to Hire) Location: Hybrid (Remote + Onsite in Kolkata Office) Duration : 3-Month Full-Time Contract (Potential to convert to Full-Time Employee) Start Date : 1/08/2025 About the Role: · We are seeking a skilled and motivated AI Engineer for a 3-month full-time contract position, with the opportunity to convert into a permanent role based on performance. · The ideal candidate will have a strong background in machine learning, AI model development, and data engineering , particularly with experience in Google BigQuery and other cloud or traditional databases. · You will be responsible for end-to-end model development — from sourcing and preprocessing data to training, evaluating, and deploying models for real-world applications. Key Responsibilities: · Access and query data from BigQuery and other structured/unstructured databases. · Clean, preprocess, and transform large datasets for modeling and analysis . · Design, develop, and implement AI/ML models to solve business problems. · Collaborate with data engineers, analysts, and business teams to understand data needs and project objectives. · Evaluate model performance using standard metrics and iterate for improvement. · Deploy models into production environments and monitor their effectiveness. · Document workflows, decisions, and maintain code quality with version control tools (e.g., Git) Required Skills & Qualifications: a. Education & Experience: · Bachelor's or Master’s degree in Computer Science & Engineering, Mathematics, Data Science , or a related technical field OR equivalent hands-on industry experience in AI/ML and data engineering . · Candidates without formal degrees but with a strong project portfolio , certifications (e.g., Google Professional ML Engineer, Coursera, edX) or relevant open-source contributions are encouraged to apply. b. Technical Experience: · Proficient in Google BigQuery and other databases (SQL, NoSQL). · Strong programming skills in Python and experience with ML libraries/frameworks like Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy . · Proven experience in developing, training, and deploying AI/ML models . · Familiarity with cloud platforms (Google Cloud Platform, AWS, etc.) and MLOps workflows. · Experience with version control systems like Git. c. Soft Skills: · Strong analytical thinking and problem-solving mindset. · Excellent communication and collaboration skills. · Self-driven and capable of working independently in a hybrid work setup (remote + Kolkata office). Nice to have Skills: · Familiarity with data visualization tools such as Looker, Tableau, or Power BI . · Experience working in hybrid or distributed teams . · Basic understanding of Japanese is a plus Work Arrangement: Hybrid : Primarily remote, with occasional onsite meetings at our Kolkata office. Must be available to work from Kolkata office when required. Contract & Future Opportunity: · Initial Engagement : 3 months contract with full-time (100%) commitment. · Future Opportunity : High potential for conversion to a full-time permanent role, depending on performance and business needs

Job Title: Data Scientist Location: Gurgaon Level/Band: Band C (Manager / Senior Manager) Department: Flight Safety About The Role We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques , building custom algorithms , and conducting exploratory data analysis , with a strong focus on aviation safety and operational excellence. Key Responsibilities Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Educational Background Required Qualifications & Experience: Bachelor’s degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Why Join Us? Contribute to cutting-edge data science initiatives in the aviation safety domain. Work in a collaborative and innovation-driven environment. Be part of a mission-critical team focused on predictive safety and operational excellence. Skills: analytics,learning,custom algorithm design & development,anomaly detection (time-series & multivariate data),machine learning & deep learning (ann, rnn, cnn),matlab,data analysis,data analysis & exploratory data analysis (eda),big data analytics & ai-driven risk forecasting,flight safety,machine learning,python,data science,data collection, preprocessing, and integration

🚀 Why Headout? We're a rocketship: 9-figure revenue, record growth, and profitable With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry, and we're just getting started. We've raised $60M+ from top-tier investors and are building a durable company for the long term — because that's what our mission needs and deserves. We're growing, profitable and nowhere near done. What we do is important In an increasingly digital world, there is a desperate need to augment our human experience by getting us to interact with the real world around us and the people in it. At Headout, our mission is to be the easiest, fastest, and most delightful way to head out to a real-life experience — from immersive tours to museums to live events and everything in between. Why now? The foundation is strong. The opportunity ahead is even bigger. We've hit profitability, built momentum, and proven the model — but there's so much more to build. If you're looking to join a company where the trajectory is steep and your impact is real, this is the moment. Our culture Reinventing the travel industry isn't easy, but that's the fun part. We care deeply about ownership, craft, and impact, and we're here to do the best work of our careers. We won't pretend like it's for everyone but if you're a builder who loves solving tough problems, you'll feel right at home. Read more about our unique values here: https://bit.ly/HeadoutPlaybook 👩‍💻 The Role As a Machine Learning Engineer at Headout, you will play a pivotal role in developing AI-powered solutions that enhance our platform and create exceptional experiences for travelers worldwide. At Headout, we firmly believe that intelligent algorithms can transform how people discover and engage with travel experiences. Collaborating closely with multifaceted teams across the organization, you'll design, develop, and deploy sophisticated ML models across various applications including recommendations, search optimization, pricing, and operational efficiency. 🌟 What makes the role stand out? Global Impact: Your algorithms will serve millions of travelers across 190+ countries, optimizing experiences throughout the customer journey - from discovery and decision-making to post-purchase engagement. Diverse AI Applications: Work on a variety of machine learning projects spanning different domains. One day you might be improving our recommendation engine, the next you could be optimizing search rankings or developing forecasting models for operational planning. End-to-End Ownership: Take ML solutions from ideation to production. You'll help identify opportunities where ML can add value, design solutions, implement models, and measure real-world impact. Data-Rich Environment: Leverage rich, multi-dimensional data from user behavior, transaction patterns, content characteristics, and operational metrics to build comprehensive models that drive meaningful outcomes. Tangible Results: See the concrete impact of your work through key business metrics. Your models will contribute to increased conversion rates, enhanced user engagement, optimized operations, and improved customer satisfaction. Technical Innovation: As machine learning and AI technologies evolve, you'll be at the forefront of evaluating and implementing new approaches that keep Headout competitive in a dynamic industry. 🎯 What skills you need to have You have a minimum of 4 years of experience in machine learning engineering across different applications such as recommendations, classification, prediction, or natural language processing A strong foundation in ML fundamentals and techniques is essential. Proficiency in Python is a must, with experience in frameworks like TensorFlow, PyTorch, scikit-learn, or similar ML libraries (Hugging Face, XGBoost etc) You have practical experience taking ML models from development to production, including data preprocessing, feature engineering, model training, evaluation, and deployment Experience with A/B testing and experimentation frameworks to measure and validate the impact of ML solutions You possess strong problem-solving skills and the ability to translate business requirements into effective technical implementations Your communication skills enable you to work effectively with cross-functional teams and explain complex technical concepts to non-technical stakeholders Familiarity with large-scale data processing technologies (Spark, Kafka, Flink etc.) and cloud-based ML services (Vertex AI, Sagemaker etc) is a plus EEO statement At Headout, we don't just accept differences — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our partners, and the community at large. Headout provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. During the interview process, if you need assistance or an accommodation due to a disability, you may contact the recruiter assigned to your application or email us at life@headout.com. Privacy policy Please note that once you apply for this job profile your personal data will be retained for a period of one (1) year. Headout shall process this data for recruitment purposes only. Once the relevant job profile is filled or once the time period of one (1) year from the date of the job application has passed, whichever is later, Headout shall either delete your data or inform you that it shall keep it in its database for future roles. In compliance with the relevant privacy laws, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.

At FPC Global, we’re not just shaping the future—we’re building it. Our mission, "Building Tomorrow’s Digital Planet," reflects our unwavering commitment to transforming industries, creating smarter spaces, and driving sustainable progress. Since our founding in 2014, we have grown into a global leader with over 140 exceptional professionals, operating across the Americas, EMEA, APAC, and with our headquarters in London. We specialize in delivering integrated, cutting-edge consultancy services that span the entire facility lifecycle, ensuring that every project we undertake sets a new standard for innovation and excellence. Our business thrives on three dynamic pillars: FPC Global: Offering expert guidance in Technical Program & Project Management, Building Performance, Sustainability, and Cybersecurity, we ensure that every project succeeds and fulfills stakeholder aspirations. FPC Digital: Revolutionizing Digital Building Design and Operations, we create spaces that are not only efficient but also frictionless and forward-thinking. FPC Life Sciences: Empowering life sciences and pharmaceutical clients to deliver game-changing capital projects with precision and expertise. Job Description The Digital Buildings System Engineer contributes to integrating various BMS, IoT devices, and facility management systems into a cloud platform, working across different vendors and ecosystems. This platform-agnostic role enables secure, seamless data flow for analytics, remote monitoring, and operational efficiency. The engineer collaborates with global teams across IT, security, and infrastructure, engaging with multiple cloud environments (AWS, Azure, Google Cloud) and diverse technologies. The role requires strong technical adaptability, quick decision-making, and effective communication to support smart, data-driven building operations. Key Responsibilities. The responsibilities for this role include: To ensure smooth integration, optimization, and security of applications on cloud platforms. Troubleshoot issues, manage performance, and align cloud solutions with business objectives. Delivery of technical and some non technical (as training and knowledge allows) related engineering Services and projects for clients in accordance with the Proposal, Scope of Work (SoW) and/or Engagement Letter. Manage own workload, communicating and escalating any issues to line manager accordingly Building System Integration: Assess and analyze existing building systems, including BMS, HVAC, lighting, energy, and IoT devices. Map and document building systems architecture to ensure compatibility with cloud migration strategies. Cloud Onboarding & Configuration: Configure cloud infrastructure to receive and process data from various building systems. Develop and implement data flow protocols from on-premises building systems to cloud platforms, ensuring data quality and integrity. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to set up required services, storage, and data processing pipelines. Data Management & Security: Ensure compliance with cybersecurity and data privacy policies in data transfer and cloud storage. Implement encryption, authentication, and access control measures to protect building and operational data. Data Analytics and Reporting Analyze system data to generate insights on performance, sustainability, and operations. Prepare detailed reports on building operations for stakeholders. Preferred knowledge of Apps Scripts Collaboration & Stakeholder Engagement: Liaise with IT, facility management, and operations teams to understand building system requirements and constraints. Provide technical support and training to on-site staff on cloud-based building management tools. Testing & Troubleshooting: Conduct pre- and post-onboarding testing to validate data integrity and system performance. Identify, troubleshoot, and resolve issues related to data transmission, system compatibility, and network connectivity. Documentation & Reporting: Maintain comprehensive documentation of onboarding processes, system configurations, and cloud settings. Generate regular reports on onboarding status, system performance, and key metrics FPC Responsibilities: Represent FPC in a professional manner internally and externally, and achieve a high level of customer satisfaction for all work performed Be an effective Digital Building Services team member, communicating with colleagues and working collectively to contribute to the development of Digital Buildings Services Group and the FPC business as a whole Report to line manager, acting in accordance with their requests and direction and those of FPC management Manage own workload, communicating and escalating any issues to line manager accordingly Act in accordance with all FPC employment policies and procedures, including FPC Employee Handbook, Health & Safety and Time and Expenses Reporting Carry out any other duties reasonably requested by FPC Management Qualifications Education. Bachelor's degree Controls engineering or a related field. Certifications: Experience with BMS systems like Niagara, Delmatic, Delta, LoraWan. Certifications in any of these are beneficial . Cloud platforms (AWS, Azure, or Google Cloud) and relevant cloud services (data storage, IoT hubs, etc.). Certification in any of the cloud platforms is beneficial. Experience. Industry Expertise: 7+ years of experience in design and configuration of building automation systems, cloud integration, or IT infrastructure roles.Systems Integration related projects or related industries such as Architecture, Design or Construction. Strong understanding of cybersecurity best practices for cloud integrations.Knowledge of edge computing and data preprocessing methods for IoT systems. Technical Skills: Basic technical understanding in delivering digital / smart building and IoT technology projects, including some or all of the following: Digital Building Systems Integration design, development and implementation Digital Building Controls Systems Cybersecurity best practices IP Networking (IPV4, IPV6, Switching, Routing, DHCP, WiFi, Structured Cabling, etc.) System Audits & Site Surveys Soft Skills: Analytical Skills: Ability to interpret building performance data, identify trends, and develop actionable insights for continuous improvement. Client-Focused: Excellent client relationship management skills with the ability to communicate technical information effectively. Process Improvement: Proven experience in understanding and contributing to SOPs, MOPs, and RACIs, with a focus on process optimization and standardization. Problem Solving: Strong troubleshooting skills with a proactive approach to resolving technical issues remotely. Additional Information FPC Employee Benefits: At FPC, we offer a competitive salary and a comprehensive benefits package designed to reward your contributions and support your well-being. At FPC, we’re not just a company—we’re a thriving community where innovation flourishes, ideas are celebrated, and careers are shaped. When you join us, you become part of a dynamic team that: Shapes the Future: Work on groundbreaking projects that are redefining industries with sustainability, cutting-edge technology, and bold ambition. Supports Your Growth: From leadership training to cross-functional collaboration, we prioritize your professional development and empower you to explore new ideas, take initiative, and grow in your career. Values Balance and Inclusion: We celebrate diversity, foster collaboration, and ensure every voice is heard—while maintaining a strong commitment to work-life balance. Creates Impact: Contribute to the delivery of iconic, high-performance buildings and innovative solutions that have a lasting, positive impact on the world. Together, we’ll build tomorrow’s digital planet—and you’ll be part of something truly extraordinary.

About Prismforce\ Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide.\ Job Description Role: Data Scientist Reporting to: Lead AI/ML Location: Mumbai/Bangalore/Pune/Kolkata Job Brief We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market. You would be required to create and participate in evolving Analytical culture of the organization, experiment with the existing Analytical Techniques, Improvise on existing algorithms to solve the problems at hand, Innovate new algorithms to disrupt the industry, and play the critical role in solving the problems at hand. Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia. What Makes Us Unique First-Mover Advantage: We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry. Innovative Product Suite: Our solutions offer forward-thinking features that outshine traditional ERP systems. Strategic Expertise: Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights. Experienced Leadership: Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber. Diverse and Growing Team: We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata. Strong Financial Backing: Series A-funded by Sequoia, with global IT companies using our product as a core solution. Why Join Prismforce Competitive Compensation: We offer an attractive salary and benefits package that rewards your contributions. Innovative Projects: Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain. Collaborative Environment: Thrive in a dynamic, inclusive culture that values teamwork and innovation. Growth Opportunities: Continuous learning and development are core to our philosophy, helping you advance your career. Flexible Work: Enjoy flexible work arrangements that balance your work-life needs. By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management. Perks & Benefits Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development Insurance Coverage-Group Mediclaim cover for self,spouse,kids and parents & Group Term Life Insurance Policy for self. Flexible Policies Retiral Benefits Hybrid Work Model Self-driven career progression tool

Job Title: AI Lead – Generative AI & ML Systems Key Responsibilities Generative AI Development Design and implement LLM-powered solutions and generative AI models for use cases such as predictive analytics, automation workflows, anomaly detection, and intelligent systems. · RAG & LLM Applications Build and deploy Retrieval-Augmented Generation (RAG) pipelines, structured generation systems, and chat-based assistants tailored to business operations. Full AI Lifecycle Management Lead the complete AI lifecycle—from data ingestion and preprocessing to model design, training, testing, deployment, and continuous monitoring. · Optimization & Scalability Develop high-performance AI/LLM inference pipelines, applying techniques like quantization, pruning, batching, and model distillation to support real-time and memory-constrained environments. MLOps & CI/CD Automation Automate training and deployment workflows using Terraform, GitLab CI, GitHub Actions, or Jenkins, integrating model versioning, drift detection, and compliance monitoring. Cloud & Deployment Deploy and manage AI solutions using AWS, Azure, or GCP with containerization tools like Docker and Kubernetes. AI Governance & Compliance Ensure model/data governance and adherence to regulatory and ethical standards in production AI deployments. Stakeholder Collaboration Work cross-functionally with product managers, data scientists, and engineering teams to align AI outputs with real-world business goals. Required Skills & Qualifications Bachelor’s degree (B.Tech or higher) in Computer Science, IT, or a related field is required. 8-12 Year exp- from the Ai team with overall experience in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) solution development. Minimum 2+ years of hands-on experience in Generative AI and LLM-based solutions, including prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG) pipelines with full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution. Proven expertise in both open-source and proprietary Large Language Models (LLMs), including LLaMA, Mistral, Qwen, GPT, Claude, and BERT. Expertise in C/C++ & Python programming with relevant ML/DL libraries including TensorFlow, PyTorch, and Hugging Face Transformers. Experience deploying scalable AI systems in containerized environments using Docker and Kubernetes. Deep understanding of the MLOps/LLMOps lifecycle, including model versioning, deployment automation, performance monitoring, and drift detection. Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and DevOps for ML workflows. Working knowledge of Infrastructure-as-Code (IaC) tools like Terraform for cloud resource provisioning and reproducible ML pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Designed and documented High-Level Design (HLD) and Low-Level Design (LLD) for ML/GenAI systems, covering data pipelines, model serving, vector search, and observability layers. Documentation included component diagrams, network architecture, CI/CD workflows, and tabulated system designs. Provisioned and managed ML infrastructure using Terraform, including compute clusters, vector databases, and LLM inference endpoints across AWS, GCP, and Azure. Experience beyond notebooks: shipped models with logging, tracing, rollback mechanisms, and cost control strategies. Hands-on ownership of production-grade LLM workflows, not limited to experimentation. Full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution. Preferred Qualifications (Good To Have) Experience with LangChain, LlamaIndex, AutoGen, CrewAI, OpenAI APIs, or building modular LLM agent workflows. Exposure to multi-agent orchestration, tool-augmented reasoning, or Autonomous AI agents and agentic communication patterns with orchestration. Experience deploying ML/GenAI systems in regulated environments, with established governance, compliance, and Responsible AI frameworks. Familiarity with AWS data and machine learning services, including Amazon SageMaker, AWS Bedrock, ECS/EKS, and AWS Glue, for building scalable, secure data pipelines and deploying end-to-end AI/ML workflows.

AI/ML Engineer – Junior Location: Pune, Maharashtra Experience: 1–2 years ‍Employment: Full-time Role Overview: Join our AI/ML team to build and deploy generative and traditional ML models—from ideation and data preparation to production pipelines and performance optimization. You’ll solve real problems, handle data end-to-end, navigate the AI development lifecycle, and contribute to both model innovation and operational excellence. Key Responsibilities: ● Full AI/ML Lifecycle: Engage from problem scoping through data collection, modeling, deployment, monitoring, and iteration. ● Generative & ML Models: Build and fine-tune transformer-based LLMs (like GPT, BERT) both commercial as well as local, GANs, diffusion models; also develop traditional ML models for classification, regression, etc. Experience with DL models for Computer vision like CNN, R-CNN, etc is a plus. ● Data Engineering: Clean, label, preprocess, augment, and version datasets. Build ETL pipelines and features for model training. Experience with libraries like pandas, numpy, nltk, etc. ● Model Deployment & MLOps: Containerize models (Docker), deploy APIs/microservices, implement CI/CD for ML, monitor performance and drift . ● Troubleshooting & Optimization: Analyze errors, handle overfitting/underfitting, hallucinations, class imbalance, latency concerns; tune model performance. ● Collaboration: Partner with project managers, DevOps, backend engineers, and senior ML staff to integrate AI features. ● Innovation & Research: Stay current with GenAI (prompt techniques, RAG, LangChain, LLM models), test new architectures, contribute insights. ● Documentation: Maintain reproducible experiments, write clear docs, follow best practices Required Skills: ● Bachelor’s in CS, AI, Data Science, or related field. ● 1–2 years in ML/AI roles; hands-on with both generative and traditional models. ● Proficient in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn). ● Strong understanding of AI project lifecycle and MLOps principles . ● Experience in data workflows: preprocessing, feature engineering, dataset management. ● Familiarity with Docker, REST APIs, Git, and cloud platforms (AWS/GCP/Azure). ● Sharp analytical and problem-solving skills, with ability to debug and iterate models. ● Excellent communication and teamwork abilities. Preferred Skills: ● Projects involving ChatGPT, LLaMA, Stable Diffusion or similar models. ● Experience with prompt engineering, RAG pipelines, vector DBs (FAISS, Pinecone, Weaviate) . ● Exposure to CI/CD pipelines and ML metadata/versioning. ● GitHub portfolio or publications in generative AI. ● Awareness of ethics, bias mitigation, privacy, compliance in AI. Job Type: Full-time Pay: ₹200,000.00 - ₹500,000.00 per year Benefits: Provident Fund Work Location: Hybrid remote in Pune, Maharashtra

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation : You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences. #LI-HIDGlobal

Job Description: We are seeking a passionate AI/ML Engineer to join our SmartCare ID team and build healthcare-focused predictive and explainable AI models. You will work on real-world clinical and wellness data, including lab reports, vitals, EMR, and ABHA-linked data. Responsibilities: Develop machine learning models for risk prediction (e.g., diabetes, cardiac, lifestyle diseases) Build NLP pipelines for lab report summarization and health chatbots Work with time-series and structured/unstructured health data Deploy models using FastAPI or RESTful APIs Collaborate with frontend/backend teams for integration Ensure model performance, explainability, and accuracy Requirements: 2+ years in ML/NLP using Python (scikit-learn, XGBoost, spaCy, Transformers) Experience with healthcare datasets is a plus Strong in data preprocessing, model tuning, and evaluation Working knowledge of APIs, JSON, and cloud deployment Passion for healthcare innovation Job Type: Full-time Pay: ₹180,000.00 - ₹300,000.00 per year Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: Remote

Full job description We are seeking a motivated and detail-oriented Data Analyst Intern to join our dynamic team. In this role, you will gain hands-on experience analyzing data, developing reports, and supporting data-driven decision-making processes. This internship will provide you with exposure to industry-standard tools and techniques, setting a strong foundation for your career in data analytics. As a Data Analyst, you will work closely with our sales team to collect, process, and analyze data that supports business decisions. This role is ideal for someone passionate about data and eager to develop their analytical and technical skills in a real-world environment. The selected intern has to work on the following: Assist in data collection, cleaning, and preprocessing from various sources. Perform exploratory data analysis to identify trends and patterns. Create reports and dashboards to visualize data insights using tools like Excel, Tableau, or Power BI. Collaborate with team members to support data-driven decision-making processes. Document methodologies and processes for data analysis. Skills Required: Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics or a related field. Proficiency in Excel and familiarity with SQL for data querying. Experience with data visualization tools (e.g., Tableau, Power BI, or similar). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Willingness to work for 6 months on a full time basis. Job Category: Data Analyst Job Type: Full Time - Paid Internship Job Location: Jaipur For more detail connect with us at 9024370870 Job Type: Full-time Pay: ₹12,000.00 - ₹15,000.00 per month Schedule: Day shift Work Location: In person

Education AI / ML Engineer - Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field Technical Skills Proficient in Python and ML libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib, seaborn, etc. Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, Transformers, etc.) Hands-on with TensorFlow , PyTorch , or Keras Experience in data preprocessing , feature selection , EDA , and model interpretability Comfortable with API development and deploying models using Flask, FastAPI, or similar Experience with MLOps tools like MLflow , Kubeflow , DVC , Airflow , etc. Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML Strong understanding of version control (Git), CI/CD, and containerization (Docker) Bonus Skills (Good To Have) NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers) Computer Vision experience using OpenCV or YOLO/Detectron Knowledge of Reinforcement Learning or Generative AI (GANs, LLMs) Experience with vector databases (e.g., Pinecone, Weaviate) and LangChain for AI agent building Familiarity with data labeling platforms and annotation workflows Soft Skills Analytical mindset with problem-solving skills Strong communication and collaboration abilities Ability to work independently in a fast-paced, agile environment Passion for AI/ML and eagerness to stay updated with the latest developments Skills: fastapi,pandas,ml libraries,pinecone,docker,langchain,matplotlib,yolo,numpy,yolo/detectron,nltk,machine learning,spacy,vertex ai,feature selection,lambda,gans,tensorflow,airflow,weaviate,data labeling,nlp frameworks,seaborn,python,git,ai,cnns,xgboost,model interpretability,deep learning architectures,dvc,generative ai,opencv,s3,detectron,aws,data preprocessing,api development,ci/cd,gcp,scikit-learn,transformers,vector databases,mlops tools,mlflow,sagemaker,machine learning algorithms,hugging face transformers,kubeflow,eda,annotation workflows,llms,containerization,reinforcement learning,ml,pytorch,flask,rnns,azure ml,keras

Role: Machine Learning Engineer – Large Language Models Roles And Responsibilities: Design, develop, and deploy large-scale language models for a range of NLP tasks such as text generation, summarization, question answering, and sentiment analysis. Fine-tune pre-trained models (e.g., GPT, BERT, T5) on domain-specific data to optimize performance and accuracy. Collaborate with data engineering teams to collect, preprocess, and curate large datasets for training and evaluation. Experiment with model architectures, hyperparameters, and training techniques to improve model efficiency and performance. Develop and maintain pipelines for model training, evaluation, and deployment in a scalable and reproducible manner. Implement and optimize inference solutions to ensure models are performant in production environments. Monitor and evaluate model performance in production, making improvements as needed. Document methodologies, experiments, and findings to share with stakeholders and other team members. Stay current with advancements in LLMs, NLP, and machine learning, and apply new techniques to existing projects. Collaborate with product managers to understand project requirements and translate them into technical solutions. 3+ years of experience in machine learning and natural language processing. Proven experience working with LLMs (such as GPT, BERT, T5, etc.) in production environments Demonstrated experience fine-tuning and deploying large-scale language models. Technical Skills: Proficiency in Python and experience with ML libraries and frameworks such as PyTorch ,TensorFlow, Hugging Face Transformers, etc. Strong understanding of deep learning architectures (RNNs, CNNs, Transformers) and hands-on experience with Transformer-based architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and experience with containerization tools like Docker and orchestration with Kubernetes. Experience with data preprocessing, feature engineering, and data pipeline development. Knowledge of distributed training techniques and optimization methods for handling large datasets. Soft Skills: Excellent communication and collaboration skills, with an ability to work effectively across interdisciplinary teams. Strong analytical and problem-solving skills, with attention to detail and a passion for continuous learning. Ability to work independently and manage multiple projects in a fast-paced, dynamic environment. Preferred Qualifications: Experience with prompt engineering and techniques to maximize the effectiveness of LLMs in various applications. Knowledge of ethical considerations and bias mitigation techniques in language models. Familiarity with reinforcement learning, especially RLHF (Reinforcement Learning from Human Feedback) Experience with model compression and deployment techniques for resource-constrained environments. Contributions to open-source projects or publications in reputable machine learning journals. Professional development opportunities, including access to conferences, workshops, and training programs. A collaborative, inclusive work culture that values innovation and teamwork Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Primary skills (Must have): Python PyTorch, TensorFlow, Hugging Face Transformers Familiarity in cloud platforms-AWS, GCP, Azure docker, kubernetes Interview Details: Video screening with HR L1 - Technical Interview L2 - Technical and HR Round Note: Candidate must have own laptop. Must follow Kuwait calendar. Working Hours: 11:30 AM to 7:30 PM. Working days : Sunday to Thursday.

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Familiarity with programming languages such as Python or R for model development. - Ability to work with data visualization tools to present findings effectively. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning. - This position is based at our Chennai office. - A 15 years full time education is required.

Current Openings Software Engineer - AI/ML Software Engineer - AI/ML Experience : 2 - 4 years Bhubaneswar Apply About The Job Featured As an AI/ML Engineer, you will be responsible for designing, validating, and integrating cutting-edge machine learning models and algorithms. Collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. Oversee data infrastructure maintenance, ensuring streamlined and scalable data operations. Stay updated with advancements in AI and propose their integration for operational enhancement. Effectively convey detailed data insights to non-technical stakeholders. Uphold stringent data privacy and security protocols. Engage in the full lifecycle of AI projects, spanning from ideation through deployment and continuous upkeep. Core Responsibilities Develop, validate, and implement machine learning models and algorithms. Collaborate with data scientists and other stakeholders to understand and define project goals. Maintain data infrastructure and ensure scalability and efficiency of data-related operations. Stay abreast of the latest developments in the field of AI/Client and recommend ways to implement them in our operations. Communicate complex data findings in a clear and understandable manner to non-technical stakeholders. Adhere to data privacy and security guidelines. Participate in the entire AI project lifecycle, from concept to deployment and maintenance. Required Skills Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. Solid theoretical understanding of machine learning. Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute. Experience with Vector databases like Chroma Db, Pinecone, PGVector or similar Experience with Large language Models like GPT 3.5, GPT 4, GPT 4.o, Llama, Gemini, Mistral etc. Experience in LLM integration framework like langchain, Llamaindex, AgentGPT etc Experience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment. Proficiency in Python development in a Linux environment and using standard development tools. Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark). Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). Experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM). Experience deploying ML workloads on distributed systems. Self-motivated team player with a strong sense of ownership and leadership. Strong verbal, written, and organizational skills for effective communication and documentation. Research background with a publication record. Work experience at a cloud provider or AI compute/sub-system company. Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud. Experience with information security and secure development best practices. Qualifications Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field. 2-4 yrs of hands-on experience in AI/ML Apply

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop appropriate AI models to meet those needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for deploying AI applications. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required.