842 Preprocess Jobs - Page 24

Key Accountabilities JOB DESCRIPTION Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. Qualifications, Experience And Skills Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good To Have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. Show more Show less

Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Type: Full-time Pay: From ₹180,000.00 per year Benefits: Provident Fund Schedule: Fixed shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 9th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 9th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 9th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 9th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Key Responsibilities: Develop and implement machine learning models and algorithms for various business use cases. Preprocess and analyze structured and unstructured data (text, image, video, etc.). Collaborate with cross-functional teams to integrate AI models into production systems. Conduct model validation, tuning, and performance evaluation. Stay up-to-date with the latest research and trends in AI and ML. Document processes and maintain clear version control using tools like Git. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field. 1–2 years of hands-on experience in machine learning, deep learning, or AI projects. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Understanding of REST APIs and deploying models via Flask/FastAPI or similar frameworks. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. Preferred Qualifications: Experience with NLP, Computer Vision, or Time Series forecasting. Knowledge of databases (SQL/NoSQL) and data pipelines. Contributions to open-source or AI/ML competitions (Kaggle, etc.). Familiarity with MLOps tools (e.g., MLflow, Docker, Kubernetes) is a bonus. Soft Skills: Strong analytical and problem-solving abilities. Effective communication and collaboration skills. Curious, self-driven, and eager to learn. What We Offer: Competitive salary and benefits. Mentorship and opportunities for skill development. A collaborative and dynamic work environment. Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

About the Role We are seeking a highly skilled and versatile Senior AI Engineer with over 5 years of hands-on experience to join our client’s team in Pune. This role focuses on designing, developing, and deploying cutting-edge AI and machine learning solutions for high-scale, high-concurrency applications where security, scalability, and performance are paramount. You will work closely with cross-functional teams, including data scientists, DevOps engineers, security specialists, and business stakeholders, to deliver robust AI solutions that drive measurable business impact in dynamic, large-scale environments. Key Responsibilities Architect, develop, and deploy advanced machine learning and deep learning models across domains like NLP, computer vision, predictive analytics, or reinforcement learning, ensuring scalability and performance under high-traffic conditions. Preprocess, clean, and analyze large-scale structured and unstructured datasets using advanced statistical, ML, and big data techniques. Collaborate with data engineering and DevOps teams to integrate AI/ML models into production-grade pipelines, ensuring seamless operation under high concurrency. Optimize models for latency, throughput, accuracy, and resource efficiency, leveraging distributed computing and parallel processing where necessary. Implement robust security measures, including data encryption, secure model deployment, and adherence to compliance standards (e.g., GDPR, CCPA). Partner with client-side technical teams to translate complex business requirements into scalable, secure AI-driven solutions. Stay at the forefront of AI/ML advancements, experimenting with emerging tools, frameworks, and techniques (e.g., generative AI, federated learning, or AutoML). Write clean, modular, and maintainable code, along with comprehensive documentation and reports for model explainability, reproducibility, and auditability. Proactively monitor and maintain deployed models, ensuring reliability and performance in production environments with millions of concurrent users. Required Qualifications Bachelor’s or master’s degree in computer science, Machine Learning, Data Science, or a related technical field. 3 to 5 years of experience building and deploying AI/ML models in production environments with high-scale traffic and concurrency. Advanced proficiency in Python and modern AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, and JAX. Hands-on expertise in at least two of the following domains: NLP, computer vision, time-series forecasting, or generative AI. Deep understanding of the end-to-end ML lifecycle, including data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and deployment. Proven experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, or Azure ML). Strong knowledge of containerization (Docker, Kubernetes) and RESTful API development for secure and scalable model deployment. Familiarity with secure coding practices, data privacy regulations, and techniques for safeguarding AI systems against adversarial attacks. Preferred Skills Expertise in MLOps frameworks and tools such as MLflow, Kubeflow, or SageMaker for streamlined model lifecycle management. Hands-on experience with large language models (LLMs) or generative AI frameworks (e.g., Hugging Face Transformers, LangChain, or Llama). Proficiency in big data technologies and orchestration tools (e.g., Apache Spark, Airflow, or Kafka) for handling massive datasets and real-time pipelines. Experience with distributed training techniques (e.g., Horovod, Ray, or TensorFlow Distributed) for large-scale model development. Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible) for scalable and automated deployments. Familiarity with security frameworks and tools for AI systems, such as model hardening, differential privacy, or encrypted computation. Proven ability to work in global, client-facing roles, with strong communication skills to bridge technical and business teams. Show more Show less

Job Description Summary The Senior Software Engineering role within the Advanced Technology Organization (ATO) will focus on software development for AI/ML research and innovation projects. This position will utilize standard development methodologies, best practices, tools and proven processes to lead teams to deliver a quality software proof of concept on budget, within planned schedule. The position is responsible for driving the design and development efforts related to architecture, scalability, availability and performance in alignment with the innovation roadmap Job Description Roles and Responsibilities Subject matter expert in AI/ML methodologies & MLOps using Azure/AWS for Grid Control systems with a proven track record. Design, build, and deploy machine learning models for regression, classification, and other predictive analytics tasks using Python. Work on the development, fine-tuning, and deployment of large language models for various NLP tasks such as text classification and language understanding. Clean, preprocess, and transform data to make it suitable for machine learning models, including handling missing data, feature selection, and data augmentation. Evaluate models using appropriate metrics and fine-tune them for better accuracy, performance, and scalability. Collaborate with cross-functional teams including power system engineers, software engineers, and business stakeholders to understand requirements and deliver AI-driven solutions. Experience in agile methodologies such as SCRUM. Work with internal teams and customers to understand requirements & vision. Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse. Navigate through ambiguity and prioritizing conflicting asks & tasks. Expert level skills in design, architecture, and development, with an ability to take a deep dive in the implementation aspects if the situation demands. Be an expert in core data structures as well as algorithms and the ability to implement them. Education Qualification For Roles Outside USA Master’s degree in Computer Science/Data Analytics or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 5 years of experience Desired Characteristics Technical Expertise Quantifies effectiveness of design choices by gathering data. Drives accountability and adoption. Publishes guidance and documentation to promote adoption of design. Knowledgeable about AI/ML and MLOps development for the electric utility industry. Proven experience in developing and deploying machine learning models, specifically in regression and classification tasks. Experience working with large language models (LLMs) like GPT, BERT, et Proficient in Python and its machine learning libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Strong understanding of regression techniques and classification algorithms . Hands-on experience in implementing and deploying ML models using MLOps practices. Experience with natural language processing (NLP) techniques and tools for working with large language models Leadership Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Uses experts or other third parties to influence. Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. Proactively identifies and removes project obstacles or barriers on behalf of the team. Able to navigate accountability in a matrixed organization. Communicates and demonstrates a shared sense of purpose. Learns from failure. Personal Attributes Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. Innovates and integrates new processes and/or technology to significantly add value to GE. Identifies how the cost of change weighs against the benefits and advises accordingly. Additional Information Relocation Assistance Provided: Yes Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 8th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 8th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 8th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 8th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 8th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: Data Scientist – OpenCV Experience: 2–3 Years Location: Bangalore Notice Period: Immediate Joiners Only Job Overview We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutions using OpenCV and Python. Work on tasks including object detection, recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image and video datasets to extract actionable insights. Collaborate with senior data scientists and engineers to deploy models into production pipelines. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning. Prepare clear documentation for models, experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processing techniques. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learning and deep learning concepts. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, and debugging skills. Effective communication and collaboration abilities. Preferred Qualifications Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. Practical exposure through internships or academic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage. What We Offer A dynamic and innovation-driven work culture. Guidance and mentorship from experienced data science professionals. The chance to work on impactful, cutting-edge projects in computer vision. Competitive compensation and employee benefits. Show more Show less

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Description Kenvue is currently recruiting for- Analyst, Data Science This position reports to the Manager, Data Science and is based at Bengaluru, India. Who We Are At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here . Role reports to- Manager, Data Science Location- Bengaluru, India Travel %- 10% What You Will Do As Analyst, Data Science, you will develop and implement advance analytics, optimization models, and machine learning solutions to solve complex Operations Research business problems. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value. Key Responsibilities Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Follow code version through bitbucket / GIT, documenting work on Confluence. Build APIs for seamless integration with application. Stay up to date on the latest developments in operations research, supply chain management, and optimization techniques. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. Required Qualifications What We Are Looking For Masters degree in Industrial Engineering, Operations Research or Management Science or related field 2 – 4 years of business experience At least 2 years of experience in Supply Chain Optimization Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Strong programming skills in languages such as Python with experience in optimization libraries (e.g., Gurobi, FICO) and data manipulation tools (e.g., pandas, NumPy). Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit Hands on python programmer with strong experience of OOPs Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks Desired Qualifications APICS certification – CPIM, CSCP Microsoft certification (e.g., Azure Fundamentals) Machine Learning certification Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability. Primary Location Asia Pacific-India-Karnataka-Bangalore Job Function Digital Product Development Job Qualifications Masters degree in Industrial Engineering, Operations Research or Management Science or related field Show more Show less

Required Qualifications:  Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.  +3 years of professional experience in AI/ML data engineering. Technical Skills:  Proficiency in programming languages such as Python and R.  Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).  Experience with conversational AI platforms (preferred: Oracle Digital Assistant).  Experience with data processing tools and platforms (e.g., Apache Spark, Hadoop etc..).  Familiarity with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models.  Experience with natural language processing (NLP) techniques and libraries (e.g., NLTK, SpaCy).  Understanding of deep learning architectures for NLP (e.g., transformers, BERT).  Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).  Knowledge of statistical analysis and data visualization using R-language. Soft Skills:  Strong analytical and problem-solving skills.  Excellent communication and teamwork abilities.  Eagerness to learn new technologies and methodologies. Key Responsibilities: 1. AI/ML Model Development: o Design, develop, and implement machine learning models to address complex business challenges. o Preprocess and analyze large datasets to extract valuable insights for model training. o Optimize model performance through hyperparameter tuning and algorithm selection. o Utilize R in conjunction with Python for a comprehensive data analysis toolkit. 2. Oracle Digital Assistant (ODA) Integration: o Develop and deploy intelligent conversational agents using Oracle Digital Assistant (ODA). o Integrate AI/ML models seamlessly with ODA to enhance the capabilities of chatbots and virtual assistants. o Continuously refine ODA solutions based on user feedback and performance metrics. o Leverage Oracle Cloud Infrastructure (OCI) for deploying and managing ODA solutions, ensuring scalability and reliability. 3. Data Engineering: o Build and maintain robust data pipelines to support AI/ML model training and deployment. o Implement data validation processes to ensure data quality and integrity. o Collaborate closely with data scientists and analysts to define data requirements and deliver actionable insights. 4. Collaboration and Communication: o Work effectively across functional teams, including data scientists, software engineers, and product managers. o Communicate technical concepts clearly to both technical and non-technical stakeholders. o Document development processes, models, and integrations for future reference. 5. Research and Innovation: o Stay abreast of the latest advancements in AI/ML, NLP, and conversational AI technologies. o Experiment with new algorithms and approaches to improve existing solutions. o Contribute to the development of best practices and standards for AI/ML engineering. 6. Documentation o Create and maintain comprehensive project documentation. o Document code and APIs to ensure they are understandable and usable by other developers. Job Type: Full-time Pay: ₹448,780.74 - ₹767,935.03 per year Schedule: Day shift Experience: Data Engineer: 2 years (Preferred) Work Location: In person

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 7th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 7th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 7th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Description Job Summary: As a AI Developer at Emerson, you will be responsible for analyzing complex data sets to identify trends, develop predictive models, and deliver actionable insights. You will collaborate with multi-functional teams to comprehend business needs and provide data-driven solutions that improve decision-making and boost business growth In this Role, Your Responsibilities Will Be: Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights. Develop and implement predictive models and algorithms to solve business problems and improve processes. Develop visual representations and dashboards to clearly communicate findings and insights to collaborators. Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions. Clean and preprocess data to ensure accuracy and completeness for analysis. Prepare and present reports on data analysis, model performance, and important data to collaborators and management Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Stay updated with the latest industry trends and advancements in data science and machine learning techniques. Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: Bachelor's degree in computer science, Data Science, Statistics, or a related field or equivalent experience is preferred Total 10-12 years of industry experience More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models. Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy). Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Strong verbal and written communication skills, capable of explaining complex technical details to non-technical collaborators Preferred Qualifications that Set You Apart: Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have Possession of relevant certification/s in data science from reputed universities specializing in AI. Familiarity with cloud platforms, Microsoft Azure is preferred Ability to work in a fast-paced environment and handle various projects simultaneously. Strong analytical and fixing skills, with the ability to resolve issues related to model performance and infrastructure Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 7th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 7th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Long Description Day-to-Day Responsibilities: Data Analysis Understand the issues the business is facing and identify relevant data sources to define the scope of the associated impacts. Collects, selects, and validates data relevant to the analysis. Extract and translate business data into actionable data. Analyze and validate heterogenous, possibly unstructured data masses, to extract useful knowledge to optimize the company’s offers, services, or processes. Analyze large, complex data sets to identify trends, patterns, and insights. Utilize insights to propose process and/or system changes to drive continual service improvements. Data Management Implement processes for acquiring and integrating data from various sources. Clean and preprocess data to prepare it for analysis. Assist in data reconciliation and validation checks across various systems. Coordinate with IT and other departments to implement data solutions. Comply with establishing and maintaining data governance policies and procedures. Complete end to end quality assurance activities to ensure reporting is accurate and aligns with established business definitions and objectives. Ensure periodic audits for reporting to maintain data integrity and validity. General Reporting Provide guidance to internal stakeholders on best practices for reporting. This includes source identification, report set up, and report maintenance in systems of record. Collaborate with business leaders to understand their data needs and provide analytical support for decision-making. Develop and maintain key performance indicators to track the Global Services program’s effectiveness. Complete regular analyses of key performance indicators to ensure performance demonstrates global best practices and standard procedures. Create and maintain advanced dashboards and reports using tools like Tableau, Power BI, or similar, to drive operational and business improvements. Develop and present insightful reports that highlight workflow status and value. Provide input and expertise regarding appropriate financial and operational KPIs/metrics to identify the most appropriate measures for Services reporting components. Present data findings to senior management and stakeholders in a clear and concise manner. Advanced Analytics Performs research, analyzes reports, and creates statistical models for presentation/review. Summarize findings and communicate results to partners. Develop and implement data models, algorithms, and statistical analyses to address business needs. Use statistical methods to interpret data and generate actionable insights. Integrate advanced analytics practices into reporting standards introduced to the business. Build and validate predictive models to forecast business outcomes and support strategic decision-making. Documentation Conduct data process mapping activities across various systems to drive continual service improvements and platform enhancements/business process improvements. Assist in documenting data lineage/data flows. Perform database structure research and create data mapping documents to understand relevant data elements along with their definitions and use. Coordinates and provides demos, training and knowledge transfer for any Services reporting solution that launches. IT Reporting Initiative Collate reporting requirements for reporting needs prior to submission to IT, organizing and identifying data sources and intended reporting outputs, for both internal and external stakeholders. Develop and present business case documentation and rationale for investments and value/impact of reporting initiatives via the IT Steering Committee. Ensure new reporting meets the pre-defined acceptance criteria to ensure that the expected business value/customer satisfaction outputs are achieved. Coordinates release planning, testing and implementation of reporting features and functionality with the IT team and LOB. Work cross-functionally to ensure that external customer reporting requirements are accepted by Marketing, Product, and other functional leads. Responsible for business stakeholder management, providing clear and consistent communication of all report development to the business, management, and technology team. Troubleshoot and resolve bugs/defects in Services reporting solutions, with the assistance of IT, as reported or observed by stakeholders. Special projects as required. Must Haves Proven ability to significantly contribute toward or lead operational initiatives with a results-oriented approach. Ability to build internal relationships. Exceptional attention to detail and structured problem-solving skills. Excellent presentation skills and comfortable sharing thought leadership with Executive stakeholders. Proficiency in various business productivity systems. Ability to balance multiple tasks with changing priorities. Ability to negotiate conflict and maintain constructive working relationships with people at all levels of the organization. Self-starter capable of working independently and ensuring deadlines are met. Excellent communication and interpersonal skills, both verbal and written. Skilled with Microsoft Office (Word, PowerPoint, Outlook, Excel etc). Proficiency with SQL and with reporting and visualization tools such as SQL Server Reporting Services, DAX, Visual Studio, Report Builder, Qlik, and Power BI. Extensive experience with ITSM platforms and integrated reporting (e.g. ServiceNow) Understanding of data languages such as DAX, VBA, MDX, R, Python, and Power Query. Knowledge of industry-specific metrics and reporting standards in both financial and operational domains (e.g. ASA, MTTR, NPV, ROI, Cost Ratios). Understanding of relational databases and experience with database management systems. Proven experience in advanced analytics, data mining, predictive modeling. and data processing techniques. Demonstrated success in setting up reporting standards, as well as strategies for data upkeep and collection. Nice-to-Haves Familiarity with cloud platforms (e.g., AWS, Azure) is a plus. A minimum of a 4-year degree or comparable industry experience is required. Degree in quantitative field (e.g. Statistics, Mathematics, or Computer Science) is preferred 4+ years in a BI, data/business analyst, or reporting centric role preferred. Involvement in a Services role within the IT/UCC industry Familiarity with Agile development practices Demonstrated experience understanding and executing technical strategies and processes, resulting in exceeding business targets. Certifications: Data analysis or business intelligence tools (e.g. Microsoft Certified: Power BI Data Analyst Associate) Process and Quality Improvement (e.g. Six Sigma, Lean, Quality) ITIL Show more Show less

Job Description: Data Scientist (Intern) Position Overview: As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to provide valuable insights and solve challenging business problems. You will work closely with cross-functional teams to gather data, build predictive models, develop algorithms, and deliver data-driven solutions. This position is ideal for a fresher who possesses strong analytical skills, programming expertise, and a passion for working with data. Key Responsibilities: Data Collection and Preprocessing: Collect, clean, and preprocess large volumes of structured and unstructured data from various sources. Conduct data quality assessments and implement data cleaning techniques to ensure accuracy and reliability. Exploratory Data Analysis (EDA): Perform exploratory data analysis to understand the characteristics of the data and identify patterns, trends, and outliers. Utilize statistical techniques and visualizations to gain insights from the data. Statistical Modeling and Machine Learning: Develop predictive models and algorithms using statistical techniques and machine learning algorithms. Apply regression analysis, classification, clustering, time series analysis, and other relevant methods to solve business problems. Evaluate model performance, fine-tune parameters, and optimize models for better accuracy. Feature Engineering: Identify and engineer relevant features from raw data to enhance model performance. Conduct feature selection techniques to improve model interpretability and efficiency. Model Deployment and Evaluation: Collaborate with software engineers to deploy models into production systems. Monitor model performance, diagnose issues, and implement improvements as needed. Data Visualization and Reporting: Communicate findings and insights effectively through clear and concise data visualizations, reports, and presentations. Present complex data-driven concepts to non-technical stakeholders in a way that is easy to understand. Continuous Learning and Research: Stay up-to-date with the latest advancements in data science, machine learning, and related fields. Conduct research and experimentation to explore new methodologies and approaches. Show more Show less

Role - Computer Vision Engineer Experience - 2+ years Location - Indore (Onsite) Responsibilities: Develop, implement, and deploy machine learning models to address specific business challenges. Collaborate with cross-functional teams to gather and analyze data, identify opportunities for leveraging machine learning, and define project goals. Clean, preprocess, and analyze large datasets to extract meaningful insights and features for model training. Stay abreast of the latest developments in machine learning and apply innovative solutions to enhance model performance. Work closely with software engineers to integrate machine learning models into production systems. Conduct thorough testing and validation of models to ensure accuracy, robustness, and scalability. Collaborate with stakeholders to understand feedback and iterate on models for continuous improvement. Document and communicate machine learning solutions effectively to both technical and non-technical audiences. Keep up-to-date with industry best practices and contribute to a culture of learning and knowledge sharing within the team. Qualifications: Bachelor's/Master’s/Ph.D. in Computer Science, Machine Learning, Data Science, or related field. Proven experience working on machine learning projects, with a focus on model development, deployment, and optimization. Proficiency in programming languages such as Python, R, or Java, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms, statistics, and data structures. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of software development practices and version control systems. Excellent problem-solving and analytical skills. Effective communication skills and ability to collaborate in a team-oriented environment. Show more Show less

Job description Job Role: Ai Engineer Experience: 3 to 5 Years Location : Client Office – Pune, India Job Type : Full-Time Department : Artificial Intelligence / Engineering Work Mode : On-site at client location About the Role We are seeking a highly skilled and versatile Senior AI Engineer with over 3 to 5 years of hands-on experience to join our client’s team in Pune. This role focuses on designing, developing, and deploying cutting-edge AI and machine learning solutions for high-scale, high-concurrency applications where security, scalability, and performance are paramount. You will work closely with cross-functional teams, including data scientists, DevOps engineers, security specialists, and business stakeholders, to deliver robust AI solutions that drive measurable business impact in dynamic, large-scale environments. Job Summary: We are seeking a passionate and experienced Node.js Developer to join our backend engineering team. As a key contributor, you will be responsible for building scalable, high-performance APIs, microservices, and backend systems that power our products and services. You will leverage modern technologies and best practices to design and implement robust, maintainable, and efficient solutions. You should have a deep understanding of Node.js, NestJS, Express.js, along with hands-on experience designing and building complex backend systems. Key Responsibilities Architect, develop, and deploy advanced machine learning and deep learning models across domains like NLP, computer vision, predictive analytics, or reinforcement learning, ensuring scalability and performance under high-traffic conditions. Preprocess, clean, and analyze large-scale structured and unstructured datasets using advanced statistical, ML, and big data techniques. Collaborate with data engineering and DevOps teams to integrate AI/ML models into production-grade pipelines, ensuring seamless operation under high concurrency. Optimize models for latency, throughput, accuracy, and resource efficiency, leveraging distributed computing and parallel processing where necessary. Implement robust security measures, including data encryption, secure model deployment, and adherence to compliance standards (e.g., GDPR, CCPA). Partner with client-side technical teams to translate complex business requirements into scalable, secure AI-driven solutions. Stay at the forefront of AI/ML advancements, experimenting with emerging tools, frameworks, and techniques (e.g., generative AI, federated learning, or AutoML). Write clean, modular, and maintainable code, along with comprehensive documentation and reports for model explainability, reproducibility, and auditability. Proactively monitor and maintain deployed models, ensuring reliability and performance in production environments with millions of concurrent users. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related technical field. 5+ years of experience building and deploying AI/ML models in production environments with high-scale traffic and concurrency. Advanced proficiency in Python and modern AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, and JAX. Hands-on expertise in at least two of the following domains: NLP, computer vision, time-series forecasting, or generative AI. Deep understanding of the end-to-end ML lifecycle, including data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and deployment. Proven experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, or Azure ML). Strong knowledge of containerization (Docker, Kubernetes) and RESTful API development for secure and scalable model deployment. Familiarity with secure coding practices, data privacy regulations, and techniques for safeguarding AI systems against adversarial attacks. Preferred Skills Expertise in MLOps frameworks and tools such as MLflow, Kubeflow, or SageMaker for streamlined model lifecycle management. Hands-on experience with large language models (LLMs) or generative AI frameworks (e.g., Hugging Face Transformers, LangChain, or Llama). Proficiency in big data technologies and orchestration tools (e.g., Apache Spark, Airflow, or Kafka) for handling massive datasets and real-time pipelines. Experience with distributed training techniques (e.g., Horovod, Ray, or TensorFlow Distributed) for large-scale model development. Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible) for scalable and automated deployments. Familiarity with security frameworks and tools for AI systems, such as model hardening, differential privacy, or encrypted computation. Proven ability to work in global, client-facing roles, with strong communication skills to bridge technical and business teams. Share the CV on hr.mobilefirst@gmail.com/6355560672 Show more Show less

Selected Intern's Day-to-day Responsibilities Include Collaborate with the AI research team to design and develop AI models tailored to address specific challenges in the food industry Conduct research and experiments to explore novel approaches in LLM and deep learning for solving real-world problems related to food production, distribution, and consumption Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring accuracy, reliability, and scalability Implement algorithms and techniques for natural language processing, logic reasoning, and mathematical modeling to extract valuable insights from diverse sources of data Develop APIs for seamless integration of AI models with existing systems and third-party tools, ensuring compatibility, efficiency, and reliability Integrate AI solutions with third-party tools and platforms to enhance functionality and performance, leveraging APIs and SDKs for seamless data exchange and collaboration Perform quality assurance (QA) testing to validate the functionality, performance, and reliability of AI models, APIs, and integrated systems Utilize Python stack and Conda-like technologies for development, ensuring consistency, reproducibility, and scalability of AI solutions Collaborate with cross-functional teams to identify requirements, define specifications, and prioritize features for API development and integration Stay updated on the latest advancements in AI, LLM, and deep learning research, as well as emerging tools and technologies for API creation and integration About Company: FoodNEST(S) - Bringing the restaurant to your doorstep. FoodNEST(S) is a fast-growing food tech startup founded in 2021 by Vatsal Asthana, an ambitiously keen food enthusiast. FoodNEST was founded with the sole purpose of reiterating the authentic food tradition of India and keeping alive all the astounding Indian delicacies that have been perfected across generations. We offer curated best variety of cuisines from regional to international from a variety of restaurants making it easy for people to get their favorite restaurants at their doorstep. Show more Show less