7757 Machine Learning Jobs - Page 20

Job Description Own the quality of end to end learning experience for our global flagship programs in the domain of analytics, data science and artificial intelligence Own the hands on development of all the different components of the learning experience, including but not limited to video content, hands-on/ labs material, projects and various other learning activities/interventions. This will include engaging with SMEs/faculties/industry experts. Be a mentor / training assistant to hundreds of global professional by providing technical support, guidance and feedback in a timely manner Develop and leverage analytics powered solutions to continuously monitor and identify opportunities to improve quality of the learning experience in terms of appropriateness, accuracy, richness and outcomes. This will involve solving a variety of business problems using data. Be an active contributor to organisation building by identifying and executing on various growth as well as capability development opportunities, in terms on new products or processes. Join us if You have an entrepreneurial bug You work best under no adult supervision You get all the weird ideas and a sudden urge to implement them You believe education is beyond books and can be damn exciting You feel all work and no play makes Jack a dull boy We walk the talk and believe in the same learning experience for our people; we do not say we ignite. Qualifications 1+ years of working experience in Data Science, Analytics or Artificial Intelligence Have solved an end-to-end business problem or been part of a problem-solving journey Strongly mandatory - 1+ year experience in using SQL to query data and Python to manipulate data and draw insights from large data sets Experience in creating and using machine learning algorithms and statistical modeling methods Strong written, verbal, and presentation skills with the ability to work through complex concepts in easy-to-understand language Experience with open-source DL toolkits such as TensorFlow, PyTorch, Hugging Face

Job description Description: We are seeking a highly skilled and motivated AI developer with an advanced degree in Mathematics to join our dynamic AI and Machine Learning team. The ideal candidate will leverage their strong mathematical background to develop innovative algorithms and models that push the boundaries of artificial intelligence applications. This role requires a deep understanding of theoretical and applied mathematics, as well as the ability to translate complex mathematical concepts into practical solutions. Key Responsibilities · Conduct cutting-edge research in AI and machine learning, focusing on areas such as optimization, statistical modeling, and algorithm development. · Develop & implement new mathematical techniques to enhance existing AI models and algorithms. Decipher the mathematics behind the publicly available AI/ML models and ways to improve upon them · Ability to write pseudo-code for AI models · Collaborate with cross-functional teams, including software engineers, data scientists, and domain experts, to integrate mathematical findings into practical applications. · Analyze large datasets to identify patterns and derive insights using advanced statistical and mathematical methods. · Stay updated with the latest advancements in AI and machine learning, continuously integrating new knowledge into research and development efforts. Required Skills and Qualifications · MS or PhD Engineering/Mathematics/Applied sciences. Fresh graduates preferred. · Strong expertise in areas such as linear algebra, calculus, probability, and statistics. · Proficiency in programming languages commonly used in AI and ML · Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). · Solid understanding of mathematical foundations of machine learning algorithms, including optimization and model evaluation techniques. · Excellent problem-solving skills and the ability to think critically about complex mathematical challenges. · Strong communication skills, both written and verbal, with the ability to explain complex mathematical concepts to non-experts. · Experience in research and development of AI applications in fields such as computer vision, natural language processing, or reinforcement learning · Familiarity with cloud computing platforms and big data technologies (e.g., AWS, Azure). · Clear communication of mathematical models, architecture, pseudo-code development Location Ahmedabad. Work from office. Job Type: Full-time Job Type: Full-time Pay: ₹554,144.65 - ₹990,210.79 per year Schedule: Day shift Work Location: In person Expected Start Date: 27/06/2025

Job Summary We are seeking a skilled In Vitro Statistician with 2-7 years of experience to support our research and development teams in statistical analysis of in vitro studies. The ideal candidate will be responsible for designing experiments, analyzing data, and providing statistical insights to support decision-making in pharmaceutical, biotechnology, or life sciences research. Key Responsibilities: Design, develop, and analyze in vitro study experiments, ensuring statistical rigor and accuracy. Apply appropriate statistical models and methodologies for data interpretation. Work closely with scientists, biologists, and researchers to provide statistical guidance in study design and result evaluation. Utilize statistical software (e.g., SAS, R, JMP, or Python) to conduct data analysis, visualization, and reporting. Validate and verify data integrity, ensuring compliance with regulatory guidelines (FDA, ICH, GLP). Develop and review statistical analysis plans (SAPs), study protocols, and technical reports. Support regulatory submissions by preparing statistical documentation and reports. Stay updated with the latest statistical methods and best practices in in vitro research. Required Qualifications & Skills: Master’s or Ph.D. in Statistics, Biostatistics, Bioinformatics, or a related field. 2-7 years of experience in statistical analysis of in vitro studies, preferably in the pharmaceutical, biotechnology, or life sciences sector. Strong knowledge of experimental design, regression models, ANOVA, DOE, and multivariate analysis. Proficiency in statistical software (SAS, R, JMP, Python, or equivalent). Experience with data visualization, trend analysis, and predictive modeling. Understanding of regulatory requirements and compliance standards (FDA, ICH, GLP). Excellent communication skills to present findings to cross-functional teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in bioassays, pharmacokinetics, biomarker analysis, or toxicology studies. Familiarity with machine learning and AI-based statistical modeling. Knowledge of clinical and preclinical statistical applications.

Skills required for ML engineering expert : : 5+ years of experience in Python programing and performance tuning and optimization. Experience on ML engineering, Knowledge on Feast, Kubeflow and MLFlow. Deep understanding on NumPy , Pandas, data frames etc. Working knowledge on bigdata environment and data science model added advantage. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment Excellent communication and collaboration skills, with ability to work with cross-functional teams Knowledge of machine learning and data science concepts

Payroll: TSIT Digital Client:*** Location: Pan India Interview: Face 2 Face one round Python, AWS Bedrock including Knowledge Bases, AWS Back End Data & AI Pipeline (AWS CloudFormation), AWS API Gateway & Lambda, AWS EventBridge, AWS Step Functions, AWS Textract, LLM models using the LangChain framework

A leading Architectural, Interior Design and Project Management Consultancy firm with 300+ strong team is looking for an Architect with AI background. Detail Role and Responsibility; 1. Research and adopt the AI that is being used in Architectural Office for increasing productivity in day to day office work. It will include Microsoft Office AI which can be used in word, excel, powerpoint; AI used in Rendering images etc. to simply formatting, rendering etc. 2. Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization 3. To Educate the SSA Team by giving presentation to the various studios to implement AI based architecture in the office. Assist architectural team in the organization to move forward with integrating AI into their existing systems and preparing them for new programs and applications to keep pace with emerging trends. 4. Monitor AI industry trends and maintain state-of-the-art architectural industry knowledge. 5. Create architectural approaches for AI software and hardware integration 6. Educate teams regarding the use of AI with respect to various data we would have on the project regarding efficiency of various types of buildings, Codal compliance, Hours required for various types of buildings during various stages etc. 7. Create a data base of all SSA project hours data and be able to get the anticipated hours equired for various types of projects from SSA historical data. 8. Create a data base of all SSA Projects in terms of all parameters of the Project including Site Area, FAR area, Built up Areas, Efficiencier various building types and be able to review and retrieve it quickly. Create a intranet to be able to be accessed by all Management level. Exp.- Minimum 3-5 years of architectural experience and a strong interest in AI use for architecture

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for a Staff Data Scientist to join our Silicon Verification Data Science team. In this role, you will use advanced data science, AI/ML techniques to drive efficiency, automation, and innovation in Silicon Design Verification. You will work closely with hardware engineers, verification teams, and software developers to optimize verification workflows, improve coverage, and accelerate time-to-market for cutting-edge semiconductor products. As a Staff Engineer/ Data Scientist at Micron, you will Develop AI and Data Science based solutions to build state-of-the-art solutions for silicon design verification and firmware validation. Identify patterns, anomalies, and inefficiencies in silicon design verification processes and develop solutions to address these gaps. Automate data pipelines and develop tools to support regression analysis, bug triaging, and root cause analysis. Partner with cross-functional teams to integrate data-driven solutions into EDA tools and verification frameworks. Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate. Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements. Interact with subject matter experts to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain. Key requirements: Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field. Experience: 8+ years in data science and machine learning with at least 2 years in semiconductor verification environment Technical Skills In-depth understanding of Statistics, classical ML and deep learning, and the mathematics and formulation behind these algorithms. Well versed with text processing, various methodologies in data embedding, NLP techniques and recent advancements in GenAI and LLMs. Hands-on experience with optimization and reinforcement learning based algorithms. Solid understanding of data engineering pipeline for deployment and MLOps. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Strong understanding of digital design and verification concepts (e.g., RTL, UVM, coverage metrics, simulation). Experience with EDA tools (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa) and verification flows is a great plus. Preferred Qualifications: Knowledge of hardware description languages (Verilog/SystemVerilog). Experience with CI/CD pipelines and MLOps practices. Patents or publications in relevant fields. Location: Hyderabad About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [email protected] Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description: Nference has collaborations with top medical centres in the US and has access to multimodal, deidentified, longitudinal Electronic Health Records (EHR) data of millions of patients. Pharmaceutical and medtech companies find a lot of value in the clinical insights and evidence generated from this real world data (RWD) which pertains to their product. These requirements are executed as projects which pertain to a specific disease/drug/device (for e.g. brand-specific Botulinum toxin). As a Junior Clinical Scientist, you will be responsible for understanding the project-specific requirements of the pharma/medtech companies and applying clinical and research methodologies to extract evidence from the EHR data , which can be noisy and discontinuous. You will work with a team of software engineer/data scientists and use cutting edge AI/ML tools (LLM, neural networks) to perform statistical analysis and create final reports/ scientific documents to generate Real World Evidence (RWE) for the specific drug/device of interest. As an example, top pharma company FGH is interested in looking at EHR records of patients diagnosed with acute pancreatitis, to understand their drug prescription patterns and outcomes associated with these drugs. As a team, you have to create a cohort of patients diagnosed with this disease between 2000-2024 using EHR data, validate the cohort and extract outcomes (such as benefits, side effects, reason for stopping drugs,etc) from patient notes using the latest Large Language models and other AI tools. You will have support and mentorship from a team of tech-savvy doctors, senior clinical scientists, software engineers and data scientists to help you learn and execute the project independently. Requirements: We are looking for MBBS students who are extremely motivated and interested in healthcare/clinical research. These profiles fit our requirements: MBBS with research/industry experience in a domain related to clinical research/ healthcare research. OR MBBS with a masters/ PhD/ fellowship related to clinical / healthcare research (for example but not limited to MS, MD, MTech,MS(R), MMST, Fellowships) Strong understanding of the nuances of medicine pertaining to patient care (a broader understanding of Cardiology/ Internal Medicine/ ICU is preferred) Basic understanding of biostatistics (Optional) Basic understanding of Python and SQL (Optional) Basic understanding of relational databases (Optional) Other responsibilities can include: Offer insights in customer acquisition based on the available data modalities. Collaborate closely with the AI team in developing world-class software solutions for interpreting Electronic Health Records. Write Python/R code for data analysis and visualizations Ensure high-level accuracy in tagging the dataset for the development of artificial intelligence models. Review patient notes in the EHR as required. Working in close proximity with lead clinicians(both India Based and US-based), software and data science team to conduct clinical research and analyze data Creating cohorts for conducting Real World Studies and performing statistically sound analyses with them Deriving insights from Real World data leveraging your clinical experience Developing and implementing research protocol Preparing reports, presentations and writing research documents (manuscript) Maintaining accurate records of research activities Working closely with other members of the team to ensure successful completion of research projects Benefits: Chance to be a permanent part of “Google of biomedicine” as recognized by the Washington Post Work with some of the brilliant minds of the world solving exciting real-world problems through Artificial Intelligence, Machine Learning, analytics, and insights through triangulating unstructured and structured information from the biomedical literature as well as from large-scale molecular and real-world datasets. Chance to be a contributing author in research publications

We are seeking an experienced and passionate Data Analytics Trainer to deliver engaging and hands-on training programs. The ideal candidate will have strong expertise in data analysis tools, statistical methods, visualization platforms, and real-world project implementation. The role involves conducting training sessions, mentoring learners, and preparing them for careers in data analytics. Key Responsibilities: Design, develop, and deliver curriculum for Data Analytics programs. Conduct classroom or online training sessions on: Excel for data analysis SQL and database querying Power BI / Tableau for data visualization Python/R for statistical analysis (if applicable) Basic machine learning concepts (optional) Evaluate trainees’ progress through assessments, projects, and assignments. Provide guidance on real-time projects and use cases. Stay updated with the latest trends and tools in analytics. Customize training content as per learner profiles (freshers, professionals, etc.). Support learners in interview preparation and portfolio development. Required Skills and Qualifications: Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field. Proven experience (2–5 years) in data analytics or data science roles. Strong command of Excel, SQL, Power BI/Tableau, and basic Python or R. Prior training, mentoring, or teaching experience preferred. Excellent communication, presentation, and interpersonal skills. Ability to simplify complex concepts for learners with varying skill levels. Preferred Qualifications: Certification in Data Analytics (Google Data Analytics, Microsoft, etc.). Experience with cloud platforms (Azure, AWS, or GCP). Experience in corporate or ed-tech training is a plus. Job Types: Part-time, Freelance Schedule: Day shift Evening shift Fixed shift Monday to Friday Morning shift Night shift Rotational shift Weekend availability Work Location: In person

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with datasolutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of theindustry and we want you to join us on our journey. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions is opening its new India Development Center in Chennai, India, and we’re looking for talented individuals to join our team. As we expand our platform, we’re offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems? Look no further! Join us in shaping the future of the automotive marketplace! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. Job Summary: #LI-RG1 We are seeking a meticulous and detail-oriented Data Annotations Operator I to join our team in June. We are adding new teamamtes for this role for a June 2, 2025 start date. As a Data Annotations Operator I, you will be responsible for accurately labeling and annotating datasets, which are critical for training machine learning models. You will work closely with data scientists and machine learning engineers to ensure the quality and consistency of labeled data. Key Responsibilities: Annotate and label data (text, images, audio/ video) according to provided guidelines and specifications. Perform quality checks on annotated data to ensure accuracy and completeness. Collaborate with annotation leads to understand annotation requirements and refine guidelines. Use annotation tools and software to label data efficiently and accurately. Provide feedback to improve annotation processes and tools. Meet deadlines and maintain high productivity without compromising quality. Perform additional duties as assigned. Qualifications and Skills: Required: Strong attention to detail and focus on accuracy. Ability to follow detailed instructions and guidelines. Familiarity with basic computer operations and annotation tools like Segements.ai Effective communication skills and ability to collaborate with team members. Ability to work independently and manage time effectively. Teammates are required to work in shifts aligned with customer time zones. Preferred: Required 1- 2 yrs experience in annotation. Experience in data labeling, annotation, or a related role. Familiarity with AI/ML concepts and the role of data annotation in model training. Exposure to domain-specific datasets (e.g., automotive as a sector). Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.

Position: GIS Annotation Intern About the Role We are seeking a detail-oriented and motivated GIS Annotation Intern to support our geospatial data labeling and annotation efforts . This role is ideal for students or recent graduates in Geography, Environmental Science, Geomatics, Remote Sensing, Computer Science, or related fields who are passionate about spatial data and its role in machine learning and decision-making. Responsibilities Annotate geospatial imagery (satellite, aerial, drone) using GIS tools according to project guidelines. Digitize polygons, points, and lines to identify and classify features (e.g., roads, land use, vegetation, buildings, etc.). Perform quality checks and refine annotations based on feedback. Support the preparation and management of shapefiles, raster datasets, and metadata. Collaborate with GIS analysts, data scientists, and ML engineers to ensure annotation accuracy and consistency. Assist in documentation of annotation procedures and workflows. Qualifications Skills Qualifications Currently pursuing or recently completed a degree in Geography, Geoinformatics, Remote Sensing, Environmental Science, or a related field. Basic experience with GIS software (e.g., QGIS, Googleearth pro, or similar). Understanding of spatial data types and coordinate systems. High attention to detail and the ability to follow annotation protocols accurately. Strong communication and teamwork skills. Additional Information Bonus Points Familiarity with geospatial data formats (GeoTIFF, Shapefile, GeoJSON, etc.). Exposure to Python or scripting tools for GIS (e.g., GDAL, rasterio, geopandas). Interest or experience in geospatial AI/ML or data labeling platforms. What We Offer Join a small, ambitious, and international team and enjoy the following benefits: Hands-on experience in real-world GIS projects. Mentorship from experienced GIS professionals and data scientists. Opportunity to contribute to impactful work in environmental monitoring, agriculture, urban planning, or AI model training. Certificate of completion and recommendation based on performance. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Varaha is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices based on race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items. If you are interested in becoming a part of this venture, then we would love to know your story, write to us at [email protected]

JOB DESCRIPTION Join us for a rewarding opportunity to leverage analytics in driving product success and customer satisfaction. As a Quant Analytics Associate within the Data and Analytics team, you will leverage a wide range of analytical tools and techniques to measure product adoption and usage, enabling bankers to serve customers better. You will play a crucial role in aligning product strategies with business objectives and identifying optimization opportunities. Job Responsibilities: Conduct thorough analyses to understand the implications of product strategies, ensuring alignment with business objectives and identifying opportunities for optimization. Monitor and analyze experimental data to identify anomalies, trends, and patterns. Effectively communicate with project team members and stakeholders throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings, etc.). Create compelling visualizations and presentations that effectively convey complex data insights and strategic recommendations to stakeholders. Required Qualifications, Capabilities, and Skills: Bachelor’s/Master's Degree in a quantitative discipline such as business, finance, economics, engineering, statistics, information systems, or mathematics with 4+ years of hands-on experience. Expertise in SQL, Python/R, Alteryx. Experience in wrangling large, complex datasets, strong database skills, and ability to write, optimize, and tune complex SQL scripts. Strong problem-solving mindset and ability to think both independently and collaboratively to implement creative solutions that solve business problems. Strong business acumen and ability to translate technical details, observations, and inferences into business language. Self-motivated, goal-oriented, and able to deliver in an innovation-oriented and fast-paced environment. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Date: Jun 26, 2025 Job Requisition Id: 60926 Location: Hyderabad, TG, IN Pune, MH, IN Pune, IN Indore, MP, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Associate Data Scientist Experience: 0–2 Years Job Type: Full-time We are seeking a highly skilled and motivated Associate Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Assist in data cleaning, preprocessing, and exploratory data analysis. Work with senior team members on machine learning model development. Support the implementation of GenAI features like text summarization and embeddings. Perform evaluation of model results using standard metrics. Required Skills: Proficiency in Python and basic ML libraries (Scikit-learn, Pandas, NumPy). Familiarity with NLP techniques and LLM APIs. Basic understanding of cloud platforms (AWS/GCP/Azure). At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Key Responsibilities: Design, develop, and deliver instructor-led training programs in data science , covering: Python for Data Science Statistics and Probability Data Wrangling and Visualization Machine Learning (Supervised & Unsupervised) Deep Learning / NLP / AI Concepts (as applicable) Tools and platforms: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SQL, Jupyter Notebooks Facilitate hands-on projects and real-world case studies to reinforce learning. Provide individualized coaching and support to learners. Qualifications: roficiency in Python , data analysis libraries (e.g., Pandas, NumPy), and ML frameworks. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau). Excellent verbal and written communication skills. Certifications in Data Science or Machine Learning (e.g., from Coursera, edX, or similar). Experienced: Fresher / 06 Month experienced Job Types: Full-time, Fresher Schedule: Day shift Morning shift Rotational shift Work Location: In person

Work Flexibility: Hybrid Architect, Cloud Platform - Data & Analytics The role of Architect, Cloud Platform - Data & Analytics, will play a pivotal role in facilitating the adoption, development, and ongoing management of cloud infrastructure for Stryker's Data & Analytics needs. This role will be responsible for leading the configuration and deployment of cloud-based analytics platforms, with a strong focus on Microsoft Azure Analytics ecosystem. This role will provide thought leadership in cloud platform management, technology leadership, cloud governance, security, and self-service management. Also, providing guidance and mentorship to a group of cloud platform engineers. What you will do: Platform Configuration, Deployment, and Management: Â Lead the configuration and deployment of cloud-based analytics platforms, particularly Azure Analytics Platform. Governance, Data Security and Compliance: Develop and implement cloud governance policies and best practices. This includes creating guidelines for resource provisioning, security, compliance, and cost management. Audit and Monitoring Proficiency : Implement robust monitoring and auditing mechanisms crucial for governance. This involves setting up monitoring tools and establishing processes to regularly audit the cloud environment for security, compliance, and performance. User Access and Authentication: Â Administer user access to the analytics platform by configuring user roles, permissions, and authentication methods and Collaborate closely with IT Infrastructure and IT security teams. Cost Management: Â Monitor cloud costs and usage, implementing cost-saving strategies and budget controls, and provide recommendations for optimizing resource allocation and expenditure. Data Backup and Disaster Recovery: Â Develop and implement comprehensive data backup and disaster recovery plans, Define and enforce data retention policies for effective data lifecycle management. Leadership and Cross-Functional Collaboration: Â Collaborate with Data Engineers, Visualization Developers, and Data Scientists, leading a group of architects to manage Azure analytics solutions/platforms. What you need: Required Qualifications: Bachelor's Degree from an accredited university in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study required. Minimum 12 years of experience cloud infrastructure, cloud solutions, Data platforms, Business Intelligence/Analytics, and systems architecture and design. Hands-on experience in Azure administration & architecture, Azure Data Services, ARM templates, PowerShell, and CI/CD using Azure DevOps. Preferred Qualifications: Demonstrated advanced experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Familiarity with Data Science, Machine Learning, and Artificial Intelligence solutions. Master's degree in MIS, MBA or related disciplines preferred. Azure cloud certifications is a plus. Travel Percentage: None

Job Information Date Opened 06/26/2025 Job Type Full time Industry IT Services Work Experience 1-3 years City Coimbatore State/Province Tamil Nadu Country India Zip/Postal Code 641014 Job Description (Please apply only if you have a minimum of 3 years experience) Salary: 4 LPA + Variable Pay Company: QBrainX (https://qbrainx.com/) Role: Data Science and AI ML Trainer for Kodo IT Program by QBrainX (https://xnovaq.com/kodo-program) Work Arrangement: Work from Office Office Location: Tidel Park, Coimbatore We are seeking a passionate and skilled Data Science, AI & ML Trainer with 3-5 years of experience to join our team. The ideal candidate will deliver engaging, hands-on training sessions, simplifying complex concepts and guiding learners through practical, real-world projects. This role is perfect for an individual enthusiastic about teaching and staying at the forefront of AI/ML advancements. Key Responsibilities Design and deliver high-quality training sessions on Python, Data Analysis, Machine Learning, and AI fundamentals. Collaborate with the curriculum development team to create relevant course content, hands-on exercises, and mini-projects. Mentor and support learners, addressing technical queries and fostering a collaborative learning environment. Stay updated with the latest tools, frameworks, and trends in Data Science, AI, and ML to ensure training content remains current. Evaluate learner progress and provide constructive feedback to enhance skill development. Contribute to the creation of training materials, including presentations, tutorials, and case studies. Requirements 3-5 years of professional experience in Data Science, AI/ML roles, or training. Strong proficiency in Python and key libraries such as Pandas, NumPy, and Scikit-learn. Excellent communication and presentation skills, with the ability to explain complex concepts clearly. Passion for teaching, mentoring, and empowering learners. Strong organizational skills and the ability to manage multiple training sessions effectively. Proactive and self-motivated with a commitment to continuous learning. Good to Have Experience with Deep Learning frameworks such as TensorFlow or PyTorch. Familiarity with Natural Language Processing (NLP) or cloud platforms (e.g., AWS, Azure, GCP). Prior experience conducting workshops, bootcamps, or corporate training sessions. Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau. Benefits Join a dynamic team dedicated to shaping the next generation of Data Science and AI professionals. This role offers the opportunity to make a meaningful impact through teaching, while staying connected to cutting-edge developments in AI and ML. If you are excited about empowering learners and have the skills to excel as a Data Science, AI & ML Trainer, we encourage you to apply!

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for a Staff Data Scientist to join our Silicon Verification Data Science team. In this role, you will use advanced data science, AI/ML techniques to drive efficiency, automation, and innovation in Silicon Design Verification. You will work closely with hardware engineers, verification teams, and software developers to optimize verification workflows, improve coverage, and accelerate time-to-market for cutting-edge semiconductor products. As a Staff Engineer/ Data Scientist at Micron, you will Develop AI and Data Science based solutions to build state-of-the-art solutions for silicon design verification and firmware validation. Identify patterns, anomalies, and inefficiencies in silicon design verification processes and develop solutions to address these gaps. Automate data pipelines and develop tools to support regression analysis, bug triaging, and root cause analysis. Partner with cross-functional teams to integrate data-driven solutions into EDA tools and verification frameworks. Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate. Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements. Interact with subject matter experts to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain. Key requirements: Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field. Experience: 8+ years in data science and machine learning with at least 2 years in semiconductor verification environment Technical Skills In-depth understanding of Statistics, classical ML and deep learning, and the mathematics and formulation behind these algorithms. Well versed with text processing, various methodologies in data embedding, NLP techniques and recent advancements in GenAI and LLMs. Hands-on experience with optimization and reinforcement learning based algorithms. Solid understanding of data engineering pipeline for deployment and MLOps. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Strong understanding of digital design and verification concepts (e.g., RTL, UVM, coverage metrics, simulation). Experience with EDA tools (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa) and verification flows is a great plus. Preferred Qualifications: Knowledge of hardware description languages (Verilog/SystemVerilog). Experience with CI/CD pipelines and MLOps practices. Patents or publications in relevant fields. Location: Hyderabad About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [email protected] Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Qualification: Ph.D. in Computer Science / CSE / IT with strong academic record M.Tech/M.E. with First Class; GATE/NET score is a plus Minimum 8 years total experience in teaching/research/industry At least 3 years post-Ph.D. with good publication record Key Responsibilities: Teach advanced-level courses such as Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Data Analytics, or Full Stack Development. Supervise M.Tech dissertations and Ph.D. research, helping students publish in journals/conferences. Secure minor/major research projects (e.g., AICTE, DST, UGC) and participate in interdisciplinary research. Mentor junior faculty and assist in onboarding and academic development. Contribute to curriculum restructuring, industry advisory board coordination, and BoS (Board of Studies) work. Guide departmental initiatives like MOOCs development, digital learning, or innovation cell activities. Review research proposals, academic papers, and student theses. Maintain active engagement with industry experts, alumni, and recruiters. Job Type: Full-time Pay: ₹70,000.00 - ₹150,000.00 per month Benefits: Health insurance Leave encashment Paid time off Provident Fund Schedule: Day shift Work Location: In person

AI Analytics Intern Company Overview: Branding Pioneers, located at 750 Udyog Vihar, Phase 5, Gurgaon, is a renowned digital marketing agency specializing in tailored online marketing solutions, with a significant emphasis on the healthcare sector. Location: Gurgaon, Haryana Duration: 3-6 months About Branding Pioneers: Branding Pioneers is a premier digital marketing agency specializing in healthcare marketing. Our comprehensive services include SEO, social media marketing, content marketing, and influencer collaborations, all aimed at enhancing our clients' online presence and engagement. brandingpioneers.com Role Overview: As an AI Analytics Intern, you will work closely with our Data Science and AI teams to extract insights from complex datasets, build predictive models, and support data-driven decision-making across the organization. Key Responsibilities: Assist in collecting, cleaning, and organizing large datasets from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Develop and test predictive models using machine learning algorithms. Use data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to present analytical findings. Interpret data and communicate insights to technical and non-technical stakeholders. Support the team in developing AI tools, dashboards, and reports. Collaborate on A/B testing and optimization initiatives. Document processes, models, and results for knowledge sharing. Qualifications: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong foundation in statistics, data analysis, and machine learning. Experience with Python (NumPy, Pandas, Scikit-learn), R, or SQL. Familiarity with visualization tools like Power BI, Tableau, or libraries like Plotly. Understanding of AI/ML concepts and data modeling techniques. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain: Hands-on experience working with AI and analytics projects in a collaborative environment. Exposure to real business challenges and how AI-driven insights solve them. Mentorship from experienced AI and Data professionals. Opportunity to contribute to impactful projects with potential for a full-time offer. Job Type: Internship Contract length: 6 months Pay: 0 - 10 k per month Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have in AI Analytics ? Location: Gurgaon, Haryana (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline :28 June 2025 Expected Start Date :7 July 2025 Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Gurugram, Haryana (Preferred) Shift availability: Day Shift (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 29/06/2025 Expected Start Date: 07/07/2025

Key Areas of Expertise: Cell Culture Techniques Mammalian & Bacterial Cell Handling Cell Biology Assays (viability, proliferation, apoptosis, etc.) Protein Expression & Purification Western Blotting / ELISA / Protein Quantification Flow Cytometry (multicolor panel design, compensation, data analysis) Microscopy & Imaging (brightfield, fluorescence, live-cell) qPCR / Real-Time PCR Transfection & Gene Expression Analysis Immunology / Immunofluorescence Plate-Based Assays Job Type: Full-time Pay: ₹50,000.00 - ₹80,000.00 per year Benefits: Health insurance Schedule: Day shift Work Location: In person

Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience working with AI/ML models and training datasets (at least 1-2 years preferred). Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch, Keras). Strong analytical and problem-solving skills. Basic knowledge of programming languages (Python preferred). Attention to detail and ability to work with large datasets. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹19,000.00 per month Benefits: Cell phone reimbursement Commuter assistance Health insurance Internet reimbursement Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Language: English (Preferred) Work Location: In person

We are seeking a detail-oriented and creative Data Scientist to join our analytics team. The ideal candidate is passionate about deriving insights from data, building robust machine learning models, and helping the business make data-driven decisions. You will work closely with cross-functional teams including product, engineering, and business strategy. Key Responsibilities Analyze large volumes of structured and unstructured data to uncover insights and trends. Design, build, and validate predictive models and machine learning algorithms. Collaborate with stakeholders to define business problems and translate them into analytical solutions. Use statistical tools and techniques (e.g., regression, clustering, classification) to inform decisions. Communicate findings through effective data visualizations and presentations. Maintain and enhance existing data pipelines and model performance. Assist in deploying models into production using APIs or cloud services. Stay updated with the latest trends and technologies in data science and machine learning. Job Types: Full-time, Permanent Pay: Up to ₹40,000.00 per month Benefits: Internet reimbursement Paid sick time Schedule: Day shift Monday to Friday Rotational shift Supplemental Pay: Overtime pay Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Language: English (Required) Location: Surat, Gujarat (Required) Work Location: In person

Job Title: Data Analytics Faculty Location : Edappal, Malappuram Company : Beat Education Reporting line: HR Manager Job Summary: We are looking for a skilled and enthusiastic Data Analytics Faculty who can effectively train students in both foundational and advanced tools used in the field. The ideal candidate should be capable of delivering engaging training sessions, developing course materials, and helping students build practical skills in data analytics tools and techniques.. Key Responsibilities: Deliver engaging classroom and practical sessions. Design and update curriculum and course content as per industry trends. Provide mentorship and guidance to students on projects and practical exercises. Evaluate student performance and provide regular feedback. Support career readiness by integrating real-world data problems and case studies. Collaborate with other trainers and academic staff for course delivery and planning. Required Skills & Qualifications: Bachelor's or Master's degree Proficiency in: Python (especially Pandas & NumPy) Power BI SQL MS Excel| Statistics Basics of Machine Learning Prior teaching/training experience preferred. Strong communication and presentation skills. Passion for mentoring and upskilling students. Job Type Full-time Location Preference Immediate openings in Manjeri & Edappal, Malappuram district. Job Type: Full-time Pay: ₹15,000.00 - ₹22,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

We are looking for a person for our company to developing and optimizing product formulations, often in industries like Agriculture Fertilizer, Micro nutrient, Animal Nutrition & Feed Supplement and Sericulture Disinfectant , ensuring they meet specific requirements and standards. Responsibilities: Formulate new products and improve existing formulations by evaluating raw materials, conducting stability studies, and performing compatibility testing Develop and maintain detailed documentation of formulation procedures, including batch records, standard operating procedures, and quality control records Collaborate with cross-functional teams, including R&D, production, and quality assurance, to ensure timely and successful commercialization of new products Conduct thorough analysis of data and provide recommendations to management regarding optimization of formulations, processes, and equipment Stay up-to-date with industry trends and regulatory requirements related to formulation development, and ensure compliance with all relevant regulations and guidelines Operate and maintain laboratory equipment, including HPLC, GC, and UV-Vis spectrophotometers, and troubleshoot any issues that arise Train and mentor junior formulators and laboratory technicians, providing guidance and support as needed Participate in ongoing process improvement initiatives to optimize efficiency, reduce waste, and improve product quality. Job Types: Full-time, Part-time Pay: ₹289,230.30 - ₹1,116,573.69 per year Benefits: Cell phone reimbursement Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

Data Scientist (Python)JD: Attached Skills: Python Development, SQL, FastAPI, OOPs Concepts, Hugging Face Models, Docker, CICD Exposure To: LLM Models, OpenAI, NLP, Machine Learning Experience: 6 years Notice Period: Immediate We are looking for an experienced and passionate Data Scientist with a strong background in Python programming and Azure services. The ideal candidate will have hands-on expertise in deploying GenAI/OpenAI-based solutions, working with FastAPI, vector databases, and RAG (Retrieval-Augmented Generation) architectures. Experience in CI/CD, NLP, computer vision (CV), and deep learning is essential. Key Responsibilities: Design, develop, and deploy machine learning and GenAI solutions. Build and optimize RAG-based architectures using vector DBs, embeddings, and chunking techniques. Develop RESTful APIs using FastAPI and Django. Work with Azure services including Form Recognizer, Azure ML, and Data Storage. Integrate CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams (Product, Engineering, DevOps). Handle structured and unstructured data from various sources including NoSQL databases. Implement NLP and Computer Vision solutions using pre-trained and custom models. Optimize performance and cost of deployed models in production. Primary Skills Proficient in Python programming with strong experience in FastAPI and Django frameworks Hands-on expertise with Microsoft Azure services, including Form Recognizer and Azure Machine Learning Experience in Generative AI, OpenAI APIs, and Large Language Models (LLMs) Job Type: Full-time Pay: Up to ₹2,000,000.00 per year Work Location: In person