816 Preprocess Jobs - Page 28

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

Job Description- Note - 3 or 3+ Years of experience is must in AIML Design, develop, and implement AIML solutions to solve complex business problems. Work closely with cross-functional teams to understand requirements and integrate AIML capabilities into existing systems. Algorithm Development: Develop and implement machine learning algorithms for natural language processing, sentiment analysis, and other relevant applications. Fine-tune and optimize algorithms for improved performance and accuracy. Data Processing and Analysis: Preprocess and analyze large datasets to extract meaningful insights and patterns. Collaborate with data engineers to ensure data quality and integrity. Model Training and Evaluation: Train machine learning models using relevant frameworks and libraries. Evaluate model performance and iterate on improvements. Integration and Deployment: Integrate AIML solutions into existing applications and systems. Collaborate with software developers to deploy models in production environments. Documentation: Document code, algorithms, and models for future reference and collaboration. Prepare technical documentation for end-users and stakeholders. Stay Updated on Industry Trends: Keep abreast of the latest developments in AIML and related technologies. Apply emerging trends and best practices to enhance existing solutions. Benefits: 5 Days Working.. The chance to work on all the latest technologies & to learn from the best mentors. Tremendous opportunities for professional growth. Supportive and friendly environment. Birthday and festival celebration. One year of confirmation policy for that you need to submit a Cheque of double the amount of offered Salary. Client, Referral and Diwali bonus. Good Increments + Quarterly incentive to top 10 performers. 11 years old growing IT service-based company. Job Type: Full-time Pay: ₹500,000.00 - ₹840,000.00 per year Work Location: In person

About ChemAnalyst : C hemAnalyst is a cloud-based B2B SaaS platform offering real-time pricing and market intelligence for procurement and supply chain professionals. It provides advanced forecasting tools, helping businesses optimize procurement strategies, reduce risks, and improve profitability. Covering over 500+ commodities across six key categories, ChemAnalyst delivers essential insights for informed decision-making. Led by CEO Mr. Karan Chechi, the platform enhances procurement processes, drives cost savings, and streamlines workflows, making it a go-to solution for staying competitive. It has earned accolades like “Product Innovator of the Year”, “Top 100 ProcureTech Solution Provider" and "Procurement Solution Provider of the Year." Website: https://www.chemanalyst.com/ Overview: An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. Key Responsibilities: 1. AI Model Development: Design and develop state-of-the-art AI and ML models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, recommendation systems, and more. 2. Data Preprocessing: Clean, preprocess, and transform raw data to ensure its suitability for AI model training and analysis. This may involve handling missing values, feature engineering, and data normalization. 3. Model Training and Validation: Use various machine learning frameworks and libraries to train AI models on large datasets. Validate and fine-tune models to achieve optimal performance and accuracy. 4. Deployment and Integration: Integrate AI models into data intelligence platforms and ensure seamless deployment in production environments, making them accessible to end-users. 5. Performance Monitoring and Optimization: Continuously monitor the performance of deployed models and optimize them as needed to adapt to changing data patterns and business requirements. 6. Data Visualization: Create meaningful and intuitive visualizations to communicate complex data insights to stakeholders effectively. 7. Collaborate with Cross-Functional Teams: Work closely with data engineers, data scientists, product managers, and other stakeholders to understand business needs and align AI solutions with the company's objectives. 8. Stay Updated on AI/ML Trends: Keep abreast of the latest advancements in AI/ML technologies, industry trends, and best practices to ensure the organization remains at the forefront of innovation. Skills and Qualifications: - Strong educational background in computer science, data science, artificial intelligence, or a related field (Master's or Ph.D. preferred). - Extensive experience in developing AI and ML models, ideally in a data intelligence or analytics-focused company. - Proficiency in programming languages such as Python, R, or Java, along with familiarity with popular AI/ML libraries like TensorFlow, Keras, PyTorch, and scikit-learn. - Expertise in handling and analyzing large datasets, using tools like SQL, Spark, or Hadoop. - Deep understanding of various machine learning algorithms and statistical methods. - Experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services. - Excellent problem-solving and analytical skills, with the ability to translate business requirements into AI solutions. - Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Required Experience: 2-4 Years Work Location: Noida (On-site) If interested kindly share your cv to babita.pathak@techsciresearch.com Show more Show less

Why Us NewRocket, a global, full-service Elite ServiceNow partner, helps top enterprise leaders solve their toughest business problems and navigate change with confidence. The go-to ServiceNow guide, NewRocket was recently awarded the “2024 ServiceNow Worldwide Customer Workflow Partner of the Year” and “2023 ServiceNow Creator Workflow Partner of the Year”. We work with some of the world’s biggest brands, bridging the gap between what customers expect and what their technology can deliver. We # GoBeyondWorkflows to create new kinds of experiences for our customers. Come join our Crew! The Role We are seeking a skilled Data Scientist with 4 years of experience to join our dynamic team. The ideal candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. This role will involve collaborating with cross-functional teams to solve business problems, develop predictive models, and contribute to data-driven decision-making processes. We are #GoingBeyond Come join our crew! What You Will Be Doing Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and integrity. Design, develop, and implement machine learning models and algorithms to address business challenges. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Build and validate predictive and prescriptive models using statistical techniques and tools. Collaborate with stakeholders to translate business requirements into data-driven solutions. Create visualizations and dashboards to communicate findings effectively to technical and non-technical audiences. Optimize and fine-tune existing models to improve accuracy, performance, and scalability. Stay current with industry trends, emerging tools, and advancements in data science and AI. Document methodologies, processes, and results for reproducibility and knowledge sharing. What You Bring Along Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 4+ years of professional experience as a Data Scientist or in a similar role. Proficiency in programming languages such as Python or R for data analysis and modeling. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Expertise in statistical analysis, hypothesis testing, and experimental design. Hands-on experience with SQL for querying and manipulating large datasets. Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus. Ability to work in a collaborative environment and adapt to new AI technologies. Excellent problem-solving skills and the ability to work independently or in a team. Strong communication skills to present complex findings in a clear and concise manner Preferred Skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing and model deployment. Background in natural language processing (NLP), computer vision, or time-series analysis. Understanding of software development practices (e.g., version control with Git, CI/CD pipelines). Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. We Take Care of Our People NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com. 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: 30th May 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 30th May 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

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: 29th May 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 30th May 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: 30th May 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

Designation :: AIML Engineer Experience :: 4+ Years Location :: Bopal,Ahmedabad(on-Site) Job description :: Design, develop, and implement AIML solutions to solve complex business problems. Work closely with cross-functional teams to understand requirements and integrate AIML capabilities into existing systems. Algorithm Development: Develop and implement machine learning algorithms for natural language processing, sentiment analysis, and other relevant applications. Fine-tune and optimize algorithms for improved performance and accuracy. Data Processing and Analysis: Preprocess and analyze large datasets to extract meaningful insights and patterns. Collaborate with data engineers to ensure data quality and integrity. Model Training and Evaluation: Train machine learning models using relevant frameworks and libraries. Evaluate model performance and iterate on improvements. Integration and Deployment: Integrate AIML solutions into existing applications and systems. Collaborate with software developers to deploy models in production environments. Documentation: Document code, algorithms, and models for future reference and collaboration. Prepare technical documentation for end-users and stakeholders. Stay Updated on Industry Trends: Keep abreast of the latest developments in AIML and related technologies. Apply emerging trends and best practices to enhance existing solutions. Show more Show less

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

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: 30th May 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 30th May 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

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: 29th May 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 29th May 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 #ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. RESPONSIBILITIES Key Responsibilities Preprocess and clean raw text data for downstream NLP applications (e.g., tokenization, normalization, entity recognition). Annotate and label datasets for supervised learning tasks (e.g., intent classification, sentiment analysis, NER). Analyze and visualize linguistic patterns and insights from textual data. Work with data scientists to evaluate and improve model performance. Support the development of rule-based and machine learning-based NLP pipelines. Document and maintain guidelines for annotation and linguistic QA. Collaborate with stakeholders to understand domain-specific language challenges and requirements QUALIFICATIONS Required Qualifications Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field. 3+ years of hands-on experience with text analysis or NLP tasks. Proficiency in Python and common NLP libraries (e.g., spaCy, NLTK, pandas). Experience working with annotation tools (e.g., Prodigy, Labelbox, doccano). Strong understanding of language structure and linguistic features. Ability to apply regular expressions and text parsing techniques effectively. Familiarity with data visualization tools and basic statistics. Preferred Qualifications Experience in domain-specific NLP (e.g., clinical/biomedical, legal, financial). Knowledge of vectorization methods (TF-IDF, word2vec, BERT embeddings). Exposure to ML model evaluation metrics (e.g., precision, recall, F1 score). Experience with SQL and working with large datasets. Familiarity with LLMs (e.g., OpenAI, Hugging Face Transformers). Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work. WHO WE ARE Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed. WHAT WE BELIEVE At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special. We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. ABOUT US Perficient is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Select work authorization questions to ask when applicants apply 1. Are you legally authorized to work in the United States? 2. Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)? Show more Show less

We are hiring an experienced AI Developer who specializes in computer vision, object detection, and OCR technologies. The ideal candidate will work closely with the development team to design, train, and deploy machine learning models that extract meaningful insights from visual data. You will be responsible for model training, data annotation, API integration, and creating end-to-end AI pipelines. Job Responsibilities Develop and fine-tune object detection models using YOLOv5/YOLOv8, Detectron2, or SSD Preprocess image data using OpenCV (contours, morphology, edge detection, etc.) Train custom models using labeled datasets, including bounding box annotations Use annotation tools such as CVAT, LabelImg, or Roboflow to label and manage datasets Prepare data in YOLO format, apply augmentation techniques to increase accuracy Integrate OCR engines such as Tesseract or EasyOCR to extract text from images Associate spatial text with detected objects using bounding box linking and proximity-based matching Build and deploy REST APIs using Flask or FastAPI for serving trained models Collaborate with frontend/backend developers to integrate AI models into applications Job Qualifications: Must-Have Skills Experience with YOLO (v5/v8), Detectron2, or SSD object detection models Proficient in image preprocessing techniques using OpenCV Hands-on experience with annotation tools like CVAT, LabelImg, or Roboflow Ability to prepare and format datasets for training (e.g., YOLO format, augmentation) Strong knowledge of OCR tools such as Tesseract OCR or EasyOCR Experience in linking spatial text with detected objects and proximity-based matching Proficiency in building RESTful APIs using Flask or FastAPI Solid understanding of Python, machine learning, and deep learning frameworks (e.g., PyTorch, TensorFlow) Nice to Have Knowledge of Docker, cloud deployment (AWS/GCP), and CI/CD practices Experience with model monitoring and performance optimization Familiarity with database technologies (e.g., MongoDB, PostgreSQL) Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python (PyTorch, TensorFlow): 1 year (Required) object detection Models: 1 year (Required) OpenCV: 1 year (Required) Location: Kulathur, Thiruvananthapuram, Kerala (Preferred) Work Location: In person Application Deadline: 30/06/2025

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: ci/cd,model interpretability,openai,langchain,aws,rag architectures,javascript,azure,google cloud,nltk,next.js,kubernetes,large language models,hugging face,ai tools,python,gcp,quantization,deep learning,machine learning (ml),nlp,ai development,mlops tools,backend technologies,llama,pytorch,ethical ai,frontend technologies,r,react.js,cloud,flask,data privacy,spacy,hugging face transformers,computer vision,nlp tasks,retrieval-augmented generation (rag),tensorflow,ml,gpt,ai technologies,large language models (llms),generative ai,fastapi,openai apis,embeddings,natural language processing,artificial intelligence,bert,model compression,natural language processing (nlp),vector databases,django,mlops,node.js,docker,inference optimization,java,machine learning,typescript Show more Show less

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 : 30th May 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: 30th May 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

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

About RISA Cancer patients don’t just fight the disease - they fight the system. Today, life-saving treatments are routinely delayed by days or even weeks due to manual, error-prone workflows. At RISA Labs, we’re here to fix that. RISA’s platform - Business Operating System as a Service (BOSS) - is not another automation bot or AI assistant. It’s a full-stack orchestration engine built for the vertical complexity of healthcare. Instead of relying on humans to push paperwork or brittle bots that break when systems change, BOSS decomposes complex workflows into micro-tasks, then delegates them to a network of intelligent agents: LLMs, digital twins, and reinforcement learners, extending across an institution’s entire software stack. This allows BOSS to create a parallel digital workforce, operating on behalf of teams and alongside them. A 1,000-person institution can function like a 2,000-person one overnight, with digital agents making up half the workforce. Role Overview We are seeking a talented Machine Learning Engineer who will work closely with data scientists, product managers, and engineers to implement machine learning solutions that solve real-world problems in industries like healthcare. You will focus on designing and building scalable, efficient machine learning systems, improving model performance, and driving innovation within RISA Labs’ AI-driven platform. This is an exciting opportunity to apply your skills in a high-impact, mission-driven environment and help shape the future of AI-powered infrastructure. Responsibilities Model Development: Design, implement, and optimize machine learning models, including supervised/unsupervised learning, deep learning, and reinforcement learning Model Deployment: Work on the end-to-end lifecycle of machine learning models — from training and validation to deployment, monitoring, and continuous improvement in production environments Data Analysis & Feature Engineering: Analyze large datasets, clean and preprocess data, and identify key features to improve model accuracy and performance Performance Optimization: Continuously improve and optimize machine learning models for speed, scalability, and accuracy, focusing on real-time applications in high-volume environments Collaboration: Collaborate with cross-functional teams to integrate machine learning models into RISA’s platform, ensuring that they meet business needs and user requirements Research & Innovation: Stay up-to-date with the latest research and industry trends in machine learning and AI, bringing new ideas and techniques to improve our systems Infrastructure Development: Work on building scalable infrastructure for machine learning workflows, including data pipelines, model management, and performance tracking AI Ethics & Compliance: Ensure that machine learning models are ethically sound and comply with industry regulations, such as HIPAA, when applied to sensitive data in regulated industries Qualifications 3+ years of experience in machine learning engineering, data science, or related fields Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, or scikit-learn Solid experience with machine learning algorithms, model optimization, and deep learning techniques Experience with cloud platforms (AWS, GCP, or Azure) and deploying machine learning models in production Strong understanding of data structures, algorithms, and computational complexity Familiarity with distributed computing tools (e.g., Spark, Hadoop) and data pipelines Experience with model versioning, experiment tracking, and building machine learning workflows (e.g., MLflow, Kubeflow) Familiarity with data privacy and security standards (e.g., HIPAA) when working with sensitive data Excellent communication skills and the ability to work collaboratively in a cross-functional team Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience Bonus: Experience working in healthcare, life sciences, or other regulated industries Show more Show less

Trident Consulting is seeking a "Machine Learning Engineer" for one of our clients in "India- Remote" Position: Machine Learning Engineer Job Location: India- Remote Job Type: Fulltime About the Role: We are seeking a skilled Machine Learning Engineer with expertise in PyTorch and a strong understanding of core machine learning principles to develop and deploy anomaly detection models on top of ELK (Elasticsearch, Logstash, Kibana). The ideal candidate will be responsible for building and integrating machine learning models to detect anomalies in log data using supervised or semi-supervised approaches Responsibilities: Train and evaluate models using PyTorch for anomaly detection in time-series or log data. Preprocess and transform log data ingested via Logstash and indexed in Elasticsearch for ML consumption. Design and run experiments to benchmark anomaly detection performance. Integrate trained models with the ELK Stack for real-time anomaly scoring and visualization in Kibana. Collaborate with DevOps/SRE teams to understand system behavior and define anomaly patterns. Document model assumptions, behavior, and performance metrics clearly and thoroughly. Required Qualifications: Proven experience with PyTorch for developing machine learning models. Strong grasp of model training fundamentals. Solid understanding of anomaly detection techniques in log or time-series data. Experience working with Elasticsearch, Logstash, and Kibana. Proficiency in Python and common data manipulation libraries (Pandas, NumPy, etc.). Familiarity with data pipeline design, feature engineering, and model deployment. Comfortable working in Linux environments and using version control (Git) Preferred Qualifications Prior experience integrating ML models with ELK. Familiarity with log data formats, common system logs (e.g., syslog, nginx, application logs). Experience with real-time inference or streaming data frameworks (e.g., Kafka, Flink). Knowledge of unsupervised anomaly detection techniques (e.g., autoencoders, clustering). Exposure to MLOps practices. About Trident Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: Trailblazer Women Award 2025 by Consulate General of India in San Francisco Ranked as the #1 Women Owned Business Enterprise in the large category by IT-Serve. Received the Tech-Serve Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022 Show more Show less

Summary Position Summary The HCI portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Enterprise Network Engineer Level: Senior Consultant As Senior Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI #HC&IE Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302213 Show more Show less

Summary Position Summary The HCI portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Senior Consultant As Senior Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI #HC&IE Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302207 Show more Show less

Summary Position Summary The HCI portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – IIoT Engineer Level: Senior Consultant As Senior Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI #HC&IE Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302209 Show more Show less

Summary Position Summary The HCI portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – IIoT Engineer Level: Consultant As Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 - 6 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI #HC&IE Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302824 Show more Show less

Key Responsibilities: Develop Python Code: Write efficient, maintainable code for AI/ML algorithms and systems. Model Development: Design, train, and deploy machine learning models (supervised, unsupervised, deep learning). Data Processing: Clean, preprocess, and analyze large datasets. Collaboration: Work with cross-functional teams to integrate AI/ML models into products. Optimization: Fine-tune models for performance, accuracy, and scalability. Required Skills: Strong Python programming skills, with experience in libraries like NumPy, pandas, scikit-learn, TensorFlow, or Py Torch. Hands-on experience in AI/ML model development and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and version control (Git). Degree in Computer Science, Data Science, or a related field. Job Type: Full-time Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Indore Pardesipura, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) Work Location: In person

Summary Position Summary The HCI portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Consultant As Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 - 6 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI #HC&IE Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303048 Show more Show less