1965 Preprocessing Jobs - Page 20

Job Title: AI Engineer – Computer Vision (Onsite/Remote, Full-Time) Location: Remote/Onsite – Chennai Duration: Full Time Experience: 1-5 years preferred Package: Up to 9LPA (Based on Experience) Role Overview: As an AI Engineer, you’ll lead the design, development, and deployment of advanced computer vision models for human motion understanding and video analytics. You'll work across the full lifecycle of AI development — from data pipelines to inference optimization — helping ship features that power our next-generation fitness intelligence systems. This is a high-impact, engineering-heavy role with a strong focus on real-world deployment, performance, and scale — not academic prototyping. Key Responsibilities: 1. Own the end-to-end lifecycle of computer vision models: from experimentation to deployment and monitoring. 2. Build and optimize deep learning models (YOLOv8, Vision Transformers, EfficientNet, SlowFast, I3D) for: i. ii. iii. Pose estimation and skeleton tracking Activity recognition and classification Posture correction and rep counting 3. Apply transfer learning, fine-tuning, and knowledge distillation techniques for performance and generalization. 4. Design scalable pipelines for video data ingestion, annotation, preprocessing, and augmentation. 5. Integrate AI modules into cloud-based (Azure/AWS) environments using REST APIs or microservices. 6. Optimize model inference using ONNX, TensorRT, and quantization strategies for real-time or edge deployment. 7. Collaborate cross-functionally with product, design, and frontend/backend teams to align on deliverables and timelines. 8. Stay up to date with the latest in vision research and evaluate new techniques for production integration. Required Skills: 1. Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related discipline. 2. 2+ years of experience building and deploying computer vision models in production environments. 3. Proficient in Python, with deep experience in PyTorch and/or TensorFlow. 4. Hands-on expertise in models such as: a. YOLOv5/YOLOv8 b. Vision Transformers (ViT, TimeSformer) o ResNet, EfficientNet o SlowFast, I3D, UNet 5. Experience working with pose estimation frameworks (Mediapipe, OpenPose, Detectron2). 6. Strong understanding of camera calibration, 3D geometry, and real-time motion tracking. 7. Experience integrating models into cloud environments (Azure, AWS) using APIs or containers. 8. Familiarity with tools such as OpenCV, MMAction2, DeepSort, and ONNX/TensorRT. Preferred Skills: Experience in real-time video analytics, edge AI, and system optimization. Familiarity with CI/CD pipelines, Docker, and monitoring tools for deployed models. Prior experience in the fitness or healthcare domain with time-series or movement data. Strong grasp of system-level design: latency tradeoffs, hardware acceleration, and scalability. What You’ll Gain A key role in shaping the next generation of intelligent fitness systems. Flexible work environment with learning and mentorship. Autonomy, ownership, and the opportunity to deploy models used by real users. A fast-paced environment with exposure to the full AI pipeline, from data to deployment. Collaborative team culture with a focus on engineering excellence and innovation. Job Type: Full-time Pay: ₹500,000.00 - ₹900,000.00 per year Benefits: Health insurance Schedule: Fixed shift Work Location: In person Expected Start Date: 15/07/2025

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: 3 to 6 Months (with potential for full-time conversion) Eligibility: Recent graduates or final year students from Engineering (B.E/B.Tech) or Arts & Science (B.Sc, BCA, M.Sc, MCA) with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Responsibilities Design and implement scalable machine learning models from data preprocessing to deployment. Lead feature engineering and model optimization to improve performance and accuracy. Build and manage end-to-end ML pipelines using MLOps practices. Deploy, monitor, and maintain models in production environments. Collaborate with data scientists and product teams to understand business requirements and translate them into ML solutions. Conduct advanced data analysis and build visualization dashboards to support insights. Maintain thorough documentation of models, experiments, and workflows. Mentor junior team members on best practices and technical skills. Skills Must-have 2–3 years of experience in machine learning development, focusing on end-to-end model lifecycle. Proficiency in Python with Pandas, NumPy, and Scikit-learn for advanced data handling and feature engineering. Strong hands-on expertise in TensorFlow or PyTorch for deep learning model development. Good-to-have Experience with MLOps tools such as MLflow or Kubeflow for model management and deployment. Familiarity with big data frameworks like Spark or Dask. Exposure to cloud ML services such as AWS SageMaker or GCP AI Platform. Will be a plus Working knowledge of Weights & Biases and DVC for experiment tracking and versioning. Experience using Ray or BentoML for distributed training and model serving.

Responsibilities Assist in designing and refining prompts for large language models (LLMs) to achieve accurate outputs. Support data labeling, text preprocessing, and data preparation for NLP workflows. Help evaluate prompt performance and suggest improvements based on testing. Contribute to small-scale NLP experiments and proof-of-concept studies. Document prompt variations and results clearly for future reference. Collaborate with senior engineers and data scientists to integrate prompts into applications. Assist in maintaining prompt libraries and managing version control. Participate in team brainstorming sessions for new NLP features or improvements. Skills Must-have 1+ year of experience in natural language processing and prompt engineering focused on LLMs. Hands-on experience in Python, leveraging NLTK or spaCy for text processing. Good-to-have Exposure to OpenAI API or similar LLM services for prompt design and testing. Familiarity with Hugging Face Transformers for basic fine-tuning and experimentation. Will be a plus Understanding of LangChain (basic) and Pinecone for vector-based retrieval tasks. Experience with tools like Streamlit or Gradio for simple NLP demos.

To support the simulation team at the customer location in analyzing their products with Ansys Maxwell/Motor-CAD. Duties: Perform 2D & 3D FE analysis of electrical and electronic devices and components. Providing online/offline training to customers on the Ansys tool, Maxwell, and Motor-CAD. Well-versed with 2D/3D Maxwell Pre/Solver/Postprocessors. Must be skilled in the following types of tools/simulations: RM xprt Maxwell 2D and 3D Maxwell Circuit Motor CAD BLDC motors Induction motor (single-phase and three-phase) Design optimization Perform the following with a focus on quality and delivery metrics: Finite Element Preprocessing (Geometry clean-up/de-featuring & meshing), Solving (Convergence, numerical stability, and accuracy). Post Processing (motor performance plot). Verification and Validation of Maxwell Results with test data/analytical data. Generation of FE Analysis Reports. Interact with customer teams for inputs and deliverables. Preparation of analysis summary for technical review meetings with the clients. Provide valuable recommendations and design suggestions to clients. Skills: Proven experience in Electromagnetic analysis with Ansys Maxwell. Demonstrated problem-solving skills with a passion for learning and teaching. Excellent understanding of Finite Element Analysis, Electrical machines, and Machine design. Self-starter with excellent verbal, communication, and interpersonal skills. Demonstrated ability in Maxwell simulation and clear presentation of simulation results. Strong ability to handle multiple projects. Keywords: RMxprt, Ansys Maxwell, Ansys Motor CAD. Motor simulation.

Job Summary: We are looking for a skilled and motivated Python + AI Developer with hands-on experience in developing intelligent systems and AI-driven applications. The ideal candidate will have a strong background in Python programming and experience working with machine learning or artificial intelligence models. Key Responsibilities: Develop and deploy AI and machine learning models using Python Work on end-to-end implementation of AI features in web/mobile applications Integrate AI solutions into existing systems Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions Optimize models for performance and scalability Write clean, efficient, and well-documented code Stay up to date with the latest AI and ML trends Required Skills: Strong proficiency in Python Experience with AI/ML frameworks like TensorFlow, Keras, PyTorch, Scikit-learn Good understanding of data preprocessing, model training, and evaluation Familiarity with NLP, computer vision, or predictive modeling Experience working with REST APIs and cloud platforms (AWS, Azure, etc.) Good understanding of algorithms, data structures, and OOP concepts Excellent problem-solving skills and communication abilities Perks & Benefits: 5-day work week Friendly and collaborative work culture Learning and growth opportunities Exposure to live AI projects and real-world challenges 📩 To apply, send your resume to: shubham@vidhema.co

Data Science Intern – Turn Data Into Discoveries 🧠📊 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours Are you fascinated by the power of data and machine learning? Join Skillfied Mentor as a Data Science Intern and gain hands-on experience in turning complex data into actionable insights. 🔍 What You’ll Learn: ✅ Core concepts of data science , including data preprocessing, analysis, and modeling ✅ Hands-on experience with Python , pandas , NumPy , Matplotlib , and scikit-learn ✅ Basics of Data Science algorithms and building predictive models 👤 Ideal For: 🔎 Students, freshers, or career switchers curious about data science or AI 🔎 Individuals with basic knowledge of Python and an analytical mindset 🔎 Candidates who can dedicate 5–7 hours/week in a fully virtual format 🎁 Perks You’ll Get: 🏅 Certificate of Completion to enhance your resume 📊 Work on real-world data science projects for your portfolio 💡 Build job-ready skills for roles in data science, machine learning, or analytics 🗓️ Application Deadline: 20th July 2025 If you're ready to build smart solutions and uncover insights from data, this is your gateway to the world of data science. 👉 Apply now and begin your Data Science journey with Skillfied Mentor!

Job Description: Data Analytics Intern Location: Remote Employment Type: Internship (Full-Time/Part-Time as applicable) Duration: 6 months Compensation: Unpaid Internship Eligibility: Currently pursuing or recently completed a Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or a related field Role Overview We are seeking a motivated Data Analytics Intern to join our team and support data-driven decision-making. This role offers hands-on experience in data collection, cleaning, analysis, and visualization, providing valuable exposure to real-world business challenges and analytics tools. Key Responsibilities Assist in collecting, cleaning, and preprocessing large datasets from multiple sources to ensure data quality and reliability Analyze data to identify patterns, trends, and actionable insights using statistical techniques and data analysis tools Create clear, compelling data visualizations, dashboards, and reports to communicate findings to both technical and non-technical stakeholders Collaborate with team members to define data requirements and support ongoing analytics projects Document analysis methodologies, processes, and results for internal knowledge sharing and reporting Participate in team meetings, present insights, and contribute to problem-solving discussions Support the implementation of data automation and digitalization initiatives as needed Qualifications & Skills Currently enrolled in or recently graduated from a relevant degree program (Data Science, Statistics, Computer Science, etc.) Basic understanding of data analysis techniques and tools such as Excel, SQL, Python, R, Tableau, or Power BI Strong analytical thinking, attention to detail, and problem-solving abilities Effective communication and teamwork skills Willingness to learn, adapt, and work in a fast-paced environment Ability to manage time and prioritize tasks efficiently Preferred Skills Experience with data visualization tools (Tableau, Power BI) and statistical analysis Familiarity with data cleaning, wrangling, and pipeline development Exposure to business analytics concepts and reporting This unpaid internship is ideal for candidates eager to gain practical data analytics experience and contribute to impactful projects in a collaborative environment. Note: This is a unpaid internship.Skills: computer science,data science,data cleaning,sql,tableau,excel,data collection,r,python,teamwork,data analytics,data visualization,power bi,data analysis,communication,problem-solving

About Aezion Aezion is one of the premiere custom software providers in United States. and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish - architecting, designing, developing, hosting, deploying, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry – an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners. Position Description Job Title: AI/ML Architct Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras GenAI Developer Job Description We are seeking a talented Generative AI Developer to join our innovative team. The ideal candidate will have a strong background in AI and machine learning, with a focus on generative models and large language models (LLMs). You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Advanced Programming Knowledge: Mastery in programming languages like Python and expertise in AI-specific libraries such as TensorFlow, PyTorch, and Keras. Proficiency in implementing and manipulating complex algorithms essential for generative AI development. Generative Models Expertise: In-depth experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to design, train, and optimize these models for generating high-quality and creative content. Natural Language Processing (NLP): Strong background in text generation techniques, including text parsing, sentiment analysis, and the use of transformers like GPT models for advanced text-based applications. Vector Databases: Hands-on experience with vector databases such as Pinecone, PgVector, and Qdrant for efficient retrieval and similarity search. Embedding, Retrieval-Augmented Generation (RAG), and Indexing: Expertise in creating embeddings, implementing RAG workflows, and indexing vector databases to improve search, retrieval, and contextual generation. LangChain and LangGraph: Expertise in building advanced workflows and applications using LangChain for LLM-based solutions and LangGraph for structured workflows with conditional logic. FastAPI and Microservices: Proficiency in building scalable, RESTful FastAPI applications and microservices architectures for deploying AI solutions. LangSmith and LangFuse: Experience using LangSmith for debugging and evaluation of LLM chains, and LangFuse for logging and analytics in LLM applications. Cloud Computing and Deployment: Expertise in deploying and managing AI applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Familiarity with Docker for containerization and Kubernetes for scaling and orchestration.

Generative AI Architect/Lead Location: Hyderabad / Bangalore/ Chennai Notice period : Immediate to 60days Key Responsibilities Strategic Leadership : Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives. Architecture Design : Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks. Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment. Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization. Collaboration : Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes. Performance Monitoring : Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications. CI/CD Pipeline Management : Design and manage continuous integration and continuous deployment pipelines for generative AI solutions. API Development : Define and deliver quality API access for various generative AI services. Team Development : Recruit, mentor, and coach team members to foster a culture of continuous learning. Required Qualifications Educational Background :Bachelor’s degree with 8+ years of experience; or Master’s degree with 7+ years of experience; or PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering). Experience :Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies. Technical Skills : Proficiency in programming languages such as Python , R , or Java . Hands-on experience with machine learning frameworks like TensorFlow , PyTorch , and libraries for deep learning . Strong understanding of generative AI techniques, including deep generative models and reinforcement learning. Expertise in CI/CD pipeline design and management, particularly in the context of generative AI. Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes). Data Management Skills : Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake). Beneficial Skills Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., ChatGPT). Understanding of AI agents for decision-making and deployment of complex applications. Experience in the commercial domain or specific industry knowledge (e.g., biopharmaceuticals). Soft Skills Exceptional communication and collaboration abilities to work effectively with cross-functional teams. Strong problem-solving skills combined with critical thinking to analyze complex challenges. Ability to present findings and strategies clearly to leadership and stakeholders.

AI/ML Manager: Location – Pune Experience: 8+ years Notice period – Immediate to 30 days. Key Responsibilities: Lead the development of machine learning PoCs and demos using structured/tabular data for use cases such as forecasting, risk scoring, churn prediction, and optimization. Collaborate with sales engineering teams to understand client needs and present ML solutions during pre-sales calls and technical workshops. Build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML and manage training, tuning, evaluation, and model packaging. Apply supervised, unsupervised, and semi-supervised techniques such as XGBoost, CatBoost, k-Means, PCA, time-series models, and more. Work with data engineering teams to define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Package and document ML assets so they can be scaled or transitioned into delivery teams post-demo. Stay current with best practices in ML explainability, model performance monitoring, and MLOps practices. Participate in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes. Qualifications: 8+ years of experience developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python, pandas, scikit-learn, and ML libraries such as XGBoost, CatBoost, LightGBM, etc. Familiarity with cloud-based ML environments such as AWS SageMaker, Azure ML, or Databricks. Solid understanding of feature engineering, model tuning, cross-validation, and error analysis. Experience with unsupervised learning, clustering, anomaly detection, and dimensionality reduction techniques. Comfortable presenting models and insights to technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts, including model versioning, deployment automation, and drift detection. Interested candidates shall apply or share resumes at kanika.garg@austere.co.in.

Job Code: BTL-2507105 Job title: Data Science Intern Experience : Fresher Mode : Work From Office Location : Hyderabad Stipend : Based on Interview Performance Website : https://beamx.co/ LinkedIn Page: https://www.linkedin.com/company/beamxtl/ Responsibilities: Assist in the development and implementation of data-driven solutions to complex business problems. Conduct data analysis and modeling to identify trends, patterns, and insights. Clean, prepare, and process large datasets for analysis. Collaborate with cross-functional teams to identify and optimize business opportunities. Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualization. Present findings and recommendations to key stakeholders in a clear and concise manner. Stay informed on the latest trends and advancements in the field of data science. Requirements: Should be familiar with NLP, Generative AI, LLMs, RAG (preferable) Strong analytical thinking and problem-solving skills. Proficiency in programming languages such as Python and R. Knowledge of Pandas, Scikit learn, Tensorflow. PyTorch. Experience with data preprocessing, cleansing, and validation techniques. Familiarity with data visualization tools and libraries. Strong written and verbal communication skills. Ability to work independently and collaboratively in a fast-paced environment. Attention to detail and ability to handle multiple projects simultaneously. Education: Currently pursuing a Bachelor's or Master's degree in (Data Science / Computer Science / Statistics / or a related field. Compensation and Benefits Competitive internship stipend. Opportunity to learn from experienced professionals. Exposure to real-world projects. Potential for full-time employment after successful completion of the internship.

Role: AI Engineer Intern (Full-time Internship, Remote) This is a remote full-time paid internship for an AI Engineer. You will help us push the boundaries of what LLMs can do by designing, testing, and optimizing prompts, building multi-step prompt pipelines, writing scaffolding code around LLM calls, benchmarking outputs, and integrating AI features into real-world products using Python and NLP techniques. Responsibilities Prompt Crafting: Design, edit, and refine prompts for different use cases and models. Prompt Chaining: Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows (e.g., summarization → critique → rewrite). Benchmarking & Evaluation: Use Python (scripts and notebooks) to run automated performance benchmarks based on KPIs like accuracy, cost, and latency. Feature Building: Write Python scaffolding to integrate LLM calls into usable product features and pipelines. Hybrid NLP: Use traditional NLP techniques (e.g., regex, spaCy, NLTK) alongside LLMs to improve output quality, preprocessing, or efficiency. Iterative Improvement: Run A/B tests, gather output samples, and tweak prompts or logic based on failure cases and edge conditions. KPI Optimization: Ensure prompt chains and model outputs meet goals like quality, relevance, length, and compute cost. Model Awareness: Stay updated with the latest in GPT, Claude, Gemini, and open-source LLMs. Tooling & Automation: Build or use lightweight tooling for prompt testing, logging, and result comparison. Documentation: Maintain a structured prompt and workflow logbook with evaluations, learnings, and architecture. Salary: Rs.15,000/month Duration: 3–6 months Must-Have Qualifications Strong Python scripting and automation experience. Experience using OpenAI or other LLM APIs. Ability to build small-scale tools or workflows that integrate and manage prompt-based logic. Understanding of prompt chaining or multi-step reasoning with LLMs. Familiarity with Jupyter/Colab for fast prototyping. Awareness of basic NLP techniques and when to combine them with LLM outputs. Comfort with debugging and improving outputs using test inputs and edge cases. Strong communication and analytical skills. Familiarity with basic evaluation techniques (BLEU, ROUGE, token count, etc.). Nice-to-Have LangChain or similar framework experience. Experience working with vector DBs, retrieval-augmented generation (RAG), or memory components. Knowledge of managing context windows, formatting outputs, or chaining across models. Open-source contributions, AI blog posts, or published prompt collections. Ideal For Final-year students who have semester break for internship or recent grads ambitious about AI/LLMs and looking to develop real-world AI engineering, prompt design, and hybrid NLP-LLM skills. You’ll work closely with founders to build robust, high-performing AI workflows and features for production-grade products. PPO offer post successful internship.

Are you passionate about turning complex data into actionable insights? We're looking for a creative and analytical Data Analyst to join our team and help shape data-driven strategies across the business. This is an exciting opportunity to work in a dynamic, collaborative environment where your models and analyses will directly influence high-impact decisions. Dassault Systèmes, the 3DEXPERIENCE Company, provides businesses and people with virtual universes to imagine sustainable innovations. Our 3DEXPERIENCE platform leverages the Company’s world-leading 3D software applications to transform the way products are designed, produced, and supported. With its online architecture, the 3DEXPERIENCE environment helps businesses to test and evaluate — anywhere in the development lifecycle of a product or service — the eventual experience they will deliver to their customers. In short, 3DEXPERIENCE powers the next-generation capabilities that drive today’s Experience Economy. Role Description & Responsibilities Analyze large, complex datasets to uncover insights, trends, and opportunities that drive strategic decisions Build and deploy predictive models using machine learning techniques (e.g., regression, classification, clustering) Perform data wrangling, preprocessing, and cleaning to prepare data for analysis and modeling Design and execute experiments (e.g., A/B testing) to evaluate hypotheses and business initiatives Communicate findings and recommendations clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations Collaborate closely with data engineers, product managers, and business teams to define data requirements and deliver end-to-end solutions Stay up to date with industry trends, tools, and best practices in data science and analytics Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field 8+ years of experience in a data science or quantitative analytics role with a good understanding of machine learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience in data mining across different industry segments like Automobile, Infrastructure & Equipment, Aerospace & Defense, manufacturing, Mining etc Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, Seaborn) Excellent communication skills, with the ability to explain complex data insights in a clear and actionable way What’s In It For You Professional Growth: Opportunity to advance within the organization Learning Environment: Access to training, workshops, and skill development Collaboration: Work closely with cross-functional teams Company Culture: Work in a culture of collaboration and innovation Interested? Click on "Apply" to upload your application documents. Inclusion statement As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.

Job Overview We are seeking a Data Scientist with a strong foundation in machine learning and a passion for the travel industry. You will work with cross-functional teams to analyze customer behavior, forecast travel demand, optimize pricing models, and deploy AI-driven solutions to improve user experience and drive business growth. Key Responsibilities Engage in all stages of the project lifecycle, including data collection, labeling, and preprocessing, to ensure high-quality datasets for model training. Utilize advanced machine learning frameworks and pipelines for efficient model development, training execution, and deployment. Implement MLFlow for tracking experiments, managing datasets, and facilitating model versioning to streamline collaboration. Oversee model deployment on cloud platforms, ensuring scalable and robust performance in real-world travel applications. Analyze large volumes of structured and unstructured travel data to identify trends, patterns, and actionable insights. Develop, test, and deploy predictive models and machine learning algorithms for fare prediction, demand forecasting, and customer segmentation. Create dashboards and reports to communicate insights effectively to stakeholders across the business. Collaborate with Engineering, Product, Marketing, and Finance teams to support strategic data initiatives. Build and maintain data pipelines for data ingestion, transformation, and modeling. Conduct statistical analysis, A/B testing, and hypothesis testing to guide product decisions. Automate processes and contribute to scalable, production-ready data science tools. Technical Skills Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Keras-Core, Scikit-learn, Distributed Model Training Programming & Development: Python, Pyspark, Julia, MATLAB, Git, GitLab, Docker, MLOps, CI/CD Pipelines Cloud & Deployment: AWS SageMaker, MLFlow, Production Scaling Data Science & Analytics: Statistical Analysis, Predictive Modeling, Feature Engineering, Data Preprocessing, Pandas, NumPy, PySpark Computer Vision: CNN, RNN, OpenCV, Kornia, Object Detection, Image Processing, Video Analytics Visualization Tools: Looker,Tableau, Power BI, Matplotlib, Seaborn Databases & Querying: SQL, Snowflake, Databricks Big Data & MLOps: Spark, Hadoop, Kubernetes, Model Monitoring Nice To Have Experience with deep learning, LLMs, NLP (Transformers), or recommendation systems in travel use cases. Knowledge of GDS APIs (Amadeus, Sabre), flight search optimization, and pricing models. Strong system design (HLD/LLD) and architecture experience for production-scale ML workflows. Skills: data preprocessing,docker,feature engineering,sql,python,predictive modeling,statistical analysis,keras,data science,spark,data scientist,aws sagemaker,machine learning,mlflow,tensorflow,pytorch

Job Title: Machine Learning Intern Company: Enerzcloud Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Artificial Intelligence / Data Science About the Company: Enerzcloud Solutions is an innovative tech company specializing in building scalable software, web, and AI-based solutions for diverse industries. We empower businesses with intelligent systems that leverage automation, machine learning, and data-driven decision-making. Job Summary: We are looking for a curious and passionate Machine Learning Intern to join our AI team. You’ll work on real-world projects involving data preprocessing, model development, and algorithm optimization under the guidance of experienced data scientists. Key Responsibilities: Assist in data collection, cleaning, and preprocessing Build and train machine learning models using Python and ML libraries Evaluate model performance and suggest improvements Work with tools like pandas, scikit-learn, TensorFlow, or PyTorch Collaborate with cross-functional teams for data integration and deployment Document code, workflows, and findings for internal use Requirements: Pursuing or recently completed a degree in Computer Science, Data Science, or related field Strong Python programming skills Familiarity with machine learning algorithms and libraries (scikit-learn, NumPy, pandas, etc.) Understanding of data structures, statistics, and model evaluation metrics Basic knowledge of deep learning is a plus Ability to learn quickly and work independently in a remote setting Perks & Benefits: ₹25,000/month stipend Real-time project experience Mentorship from experienced ML engineers Internship completion certificate Remote working flexibility

Area(s) of responsibility: ---- 22652 Experience: 6 - 8 Years Python Programming : Strong proficiency in CORE Python OOP for developing GenAI applications. Mandatory required Gen AI/ Crew AI Fine-Tuning Techniques : Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks : Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms : Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing : Skills in building and maintaining data preprocessing pipelines. API Integration : Experience with REST, SOAP, and other protocols for API integration. Model Evaluation : Knowledge of metrics and benchmarks for evaluating model performance. Document Intelligence : Proficiency in OCR and document intelligence using open-source and cloud tools. Front-End Tools : Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control : Proficiency in Git and version control best practices.

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc. Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Nice To Have Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills

About Us Thoucentric is the Consulting arm of Xoriant, a prominent digital engineering services company with 5000 employees. We are headquartered in Bangalore with presence across multiple locations in India, US, UK, Singapore & Australia Globally. As the Consulting business of Xoriant, we help clients with Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning and Execution including Analytics & Emerging Tech areas cutting across functional areas such as Supply Chain, Finance & HR, Sales & Distribution across US, UK, Singapore and Australia. Our unique consulting framework allows us to focus on execution rather than pure advisory. We are working closely with marquee names in the global consumer & packaged goods (CPG) industry, new age tech and start-up ecosystem. Xoriant (Parent entity) started in 1990 and is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. Xoriant is backed by ChrysCapital, a leading private equity firm. Our strengths are now combined with Xoriants capabilities in AI & Data, cloud, security and operations services proven for 30 years. We have been certified as "Great Place to Work" by AIM and have been ranked as "50 Best Firms for Data Scientists to Work For." We have an experienced consulting team of over 450 world-class business and technology consultants based across six global locations, supporting clients through their expert insights, entrepreneurial approach and focus on delivery excellence. We have also built point solutions and products through Thoucentric labs using AI/ML in the supply chain space. Job Title: Data Scientist (3-5 Years Experience) Location: Bangalore About Us: Thoucentric is a forward-thinking organization at the forefront of leveraging data-driven insights to solve complex business challenges. We are seeking a passionate and skilled Data Scientist to join our dynamic team and help us drive innovation through advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills & Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. Preferred Qualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Masters degree in Computer Science, Statistics, Mathematics, or a related field. Benefits What a Consulting role at Thoucentric will offer you? Opportunity to define your career path and not as enforced by a manager A great consulting environment with a chance to work with Fortune 500 companies and startups alike. A dynamic but relaxed and supportive working environment that encourages personal development. Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group. Be part of the exciting Growth Story of Thoucentric! I'm interested Locations: Bangalore North, India | Posted on: 05/02/2025

Internship Summary: We're looking for enthusiastic and talented AI Interns passionate about coding to join our team. This internship offers a unique opportunity to gain hands-on experience by working on real-world projects, contributing to innovative solutions. You will play a crucial role in developing advanced AI solutions from data preparation to model deployment. What You will Do: As an AI Engineer Intern, you'll work closely with our team, contributing to various stages of the AI development lifecycle. Your responsibilities may include: Data Preparation & Annotation: Assist in collecting, cleaning, preprocessing, and annotating large datasets This will involve supporting robust OCR and HTR capabilities. Model Experimentation & Evaluation: Conduct experiments to test, evaluate, and fine-tune AI models for accuracy, performance, and scalability. Information Extraction & Analysis: Contribute to the development and testing of features for highly accurate multilingual information extraction, retrieval, summarization, and enhanced pattern recognition from diverse, unstructured government documents. Large Language Model (LLM) Support: Support the team in evaluating, fine-tuning, and testing open-source LLMs for performance and suitability, ensuring they deeply understand government-specific terminology, policies, and contextual nuances in both English and Indian languages. Research & Exploration: Research the latest advancements, architectures, and techniques Prototyping & Implementation: Help in building prototypes and integrating AI components, including those for conceptual predictive insights from forecasting models. Experiment with prompt engineering techniques to optimize outputs from generative models. Explore and implement techniques for controlling generated content and ensuring model safety/alignment. Documentation: Maintain clear and concise documentation of experiments, model development processes, and results. Collaboration: Actively participate in team discussions, brainstorm new ideas, and collaborate with cross-functional teams to align AI solutions with business objectives.  Who Can Apply: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning from a Tier 1 or Tier-2 Colleges / Autonomous Institutions. Strong foundational understanding of core AI and Machine Learning concepts and algorithms. Specific interest in Natural Language Processing (NLP) and Large Language Models (LLMs) is highly preferred. Proficiency in at least one programming language, preferably Python is mandatory Familiarity with deep learning frameworks (e.g., TensorFlow) is a plus. Excellent analytical and problem-solving skills, with a keen eye for detail in visual data and model outputs. Strong communication and teamwork skills, with the ability to articulate technical concepts clearly. A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Key Responsibilities: Design and implement ETL pipelines using PySpark and Big Data tools on platforms like Hadoop, Hive, HDFS etc. Write scalable Python code for Machine Learning preprocessing tasks and work with libraries such as pandas, Scikit-learn etc. Develop data pipelines to support model training, evaluation and inference. Skills: Proficiency in Python programming with experience in PySpark for large-scale data processing. Hands-on experience in Big Data technologies: Hadoop, Hive HDFS etc. Exposure to machine learning workflows, model lifecycle and data preparation. Experience with ML libraries: Scikit-learn, XGBoost, Tensorflow, PyTorch etc. Exposure to cloud platforms (AWS/GCP) for data and AI workloads. Qualifications: 4-8 years of relevant experience in the Financial Service industry Intermediate level experience in Applications Development role Consistently demonstrates clear and concise written and verbal communication Demonstrated problem-solving and decision-making skills Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Data Science Intern – Turn Data Into Discoveries 🧠📊 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours Are you fascinated by the power of data and machine learning? Join Skillfied Mentor as a Data Science Intern and gain hands-on experience in turning complex data into actionable insights. 🔍 What You’ll Learn: ✅ Core concepts of data science , including data preprocessing, analysis, and modeling ✅ Hands-on experience with Python , pandas , NumPy , Matplotlib , and scikit-learn ✅ Basics of machine learning algorithms and building predictive models 👤 Ideal For: 🔎 Students, freshers, or career switchers curious about data science or AI 🔎 Individuals with basic knowledge of Python and an analytical mindset 🔎 Candidates who can dedicate 5–7 hours/week in a fully virtual format 🎁 Perks You’ll Get: 🏅 Certificate of Completion to enhance your resume 📊 Work on real-world data science projects for your portfolio 💡 Build job-ready skills for roles in data science, machine learning, or analytics 🗓️ Application Deadline: 15th July 2025 If you're ready to build smart solutions and uncover insights from data, this is your gateway to the world of data science. 👉 Apply now and begin your Data Science journey with Skillfied Mentor!

About the Role Overview: Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Instructor– Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection. ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Preferred Qualifications: ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities.

Greetings from UST Who we are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of over 38,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live. With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world. Job Summary: Notice Period: Immediate to 15 days Mandatory skills: Gen AI, Data Science, Machine Learning, ML Modal Building Experience: 8-12 years Work Location: Any UST location Work Mode: Hybrid (3 Days - Work from Office) Role Overview: We are seeking two highly skilled AI Engineers with strong proficiency in Python and a solid understanding of AI/ML concepts. You will be responsible for developing, training, and optimizing machine learning models, collaborating with cross-functional teams, and contributing to scalable AI solutions in production. This is a hands-on role requiring both theoretical knowledge and practical experience in building AI systems. Roles and Responsibilities: Design, develop, and optimize machine learning and AI models using Python and modern ML frameworks. Collaborate with data scientists, software engineers, and product managers to define AI solution requirements. Perform data preprocessing, cleaning, and feature engineering to prepare datasets for modeling. Conduct model training, validation, and performance evaluation using appropriate metrics. Tune hyperparameters and experiment with model architectures to enhance accuracy and efficiency. Document model workflows, methodologies, and code to ensure transparency and reproducibility. Assist in deploying AI models to production, monitoring performance, and refining them over time. Stay informed on the latest research papers, tools, and best practices in AI and machine learning. Participate in code reviews and maintain high standards for clean and maintainable code. Must-Have Skills: Strong proficiency in Python, with a focus on AI/ML development. Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning). Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in data preprocessing and feature engineering techniques. Familiarity with model evaluation metrics (accuracy, precision, recall, AUC, etc.). Experience working with Jupyter Notebooks and collaborative development tools (Git, etc.). Strong problem-solving skills and ability to work in a fast-paced environment. Good-to-Have Skills: Experience with model deployment tools and platforms (e.g., Docker, Flask, FastAPI, AWS SageMaker). Knowledge of MLOps practices and model lifecycle management. Familiarity with NLP, computer vision, or time series modeling. Understanding of distributed computing frameworks (e.g., Spark, Dask). Experience in using experiment tracking tools like MLflow or Weights & Biases. Exposure to cloud services (AWS, Azure, or GCP) for AI model development and deployment. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the center of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honor our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

Job Title : Machine Learning Engineer (NLP & Graph Analytics) Company Overview FWS is at the forefront of innovation in AI and ML .We are dedicated to solving complex challenges and creating impactful solutions through the power of artificial intelligence and machine learning. Our team is composed of passionate and driven experts who are committed to pushing the boundaries of what's possible. We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team and contribute to our next generation of intelligent products. Job Summary We are looking for an experienced Machine Learning Engineer with a strong background in building and deploying sophisticated machine learning models. The ideal candidate will have a proven track record of working with diverse datasets, a deep understanding of natural language processing (NLP), and hands-on experience with state-of-the-art deep learning frameworks. In this role, you will be responsible for the entire lifecycle of machine learning model development, from data acquisition and preprocessingincluding JSON extraction and graph database modeling with Neo4jto training, evaluation, and deployment via APIs. You will work with cutting-edge technologies, including Stanford NLP and large language models like Llama 3.2, to develop innovative solutions that drive our business forward. Key Responsibilities ML Model Development & Optimization : Design, develop, and implement robust machine learning models using Python and its associated libraries. You will be responsible for the end-to-end model lifecycle, including data preprocessing, feature engineering, model training, and performance evaluation. Deep Learning & NLP Utilize your expertise in deep learning with PyTorch to build and fine-tune complex neural networks. A key focus will be on Natural Language Processing (NLP) tasks, leveraging the Stanford NLP library for tasks such as sentiment analysis, named entity recognition, and coreference resolution. Large Language Models (LLMs) Stay at the forefront of AI by working with and fine-tuning large language models, specifically Llama 3.2. You will explore and implement its capabilities for tasks such as text generation, summarization, and question answering. Data Engineering & Analytics Conduct in-depth data analysis and handle complex data pipelines. This includes robust JSON extraction, transformation of semi-structured data, and modeling complex relationships using graph databases like Neo4j to build knowledge graphs that feed our ML systems. API Development & Deployment Develop and maintain scalable RESTful APIs to serve machine learning models in a production environment. Collaborate with our engineering teams to ensure seamless integration and contribute to our MLOps practices for scalability and reliability. Research & Innovation Stay current with the latest advancements in machine learning, deep learning, and NLP. Proactively identify and champion new technologies and techniques that can enhance our products and processes. Qualifications And Skills Educational Background : A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Bachelor's degree with significant relevant experience will also be considered. Programming Proficiency : Expert-level programming skills in Python and a strong command of its data science and machine learning ecosystem (e.g., Pandas, NumPy, Scikit-learn). Deep Learning Expertise : Proven experience in building and deploying deep learning models using PyTorch. Natural Language Processing (NLP) : Demonstrable experience with NLP techniques and libraries, with specific expertise in using the Stanford NLP toolkit. Large Language Models (LLMs) : Hands-on experience with and a strong understanding of large language models, including practical experience with models like Llama 3.2. Data Handling : Strong proficiency in handling and parsing various data formats, with specific experience in JSON extraction and manipulation. API Development : Solid experience in developing and deploying models via RESTful APIs using frameworks like Flask, FastAPI, or Django. Graph Database Knowledge : Experience with graph databases, particularly Neo4j, and understanding of graph data modeling and querying (Cypher). Problem-Solving Skills : Excellent analytical and problem-solving abilities with a talent for tackling complex and ambiguous challenges. Preferred Qualifications Published research in top-tier machine learning or NLP conferences. Experience with MLOps tools and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with other NLP libraries and frameworks (e.g., spaCy, Hugging Face Transformers). Contributions to open-source machine learning projects. (ref:hirist.tech)