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Position: Data Science Intern Company: IGNITERN Location: Remote Duration: 3–6 Months Stipend: Unpaid Type: Internship (Certificate Provided) About IGNITERN: IGNITERN is a forward-thinking digital solutions company dedicated to nurturing emerging talent in the tech space. We focus on real-world problem-solving, innovation, and offering early-career professionals an opportunity to explore and grow in their field. Internship Overview: We are seeking Data Science Interns who are passionate about data, eager to build models, analyze trends, and create insights that support business strategies. If you're enthusiastic about applying machine learning and statistical techniques in real-world contexts, this internship is for you. Roles & Responsibilities: Assist in collecting, cleaning, and preparing data for analysis Apply machine learning algorithms, statistical models, and exploratory data analysis techniques Collaborate with cross-functional teams to define problems and propose data-driven solutions Develop visualizations, predictive models, and performance reports Document processes and present findings in a clear, actionable format Who Can Apply: Students or recent graduates in Computer Science, Data Science, Engineering, Statistics, or a related field Must be available for at least 3 months This is a remote and unpaid internship focused on skill-building and learning Required Skills: Proficiency in Python (NumPy, pandas, etc.) Knowledge of machine learning concepts and basic algorithms Familiarity with data visualization tools like Matplotlib or Seaborn Strong analytical thinking and attention to detail Good written and verbal communication skills What You'll Gain: Practical, hands-on experience working on live projects Mentorship and collaboration with experienced data professionals Internship Certificate upon successful completion Portfolio development with real-world data science tasks Opportunity to grow in a supportive, learning-focused environment How to Apply: Send your resume and any supporting work (GitHub, Kaggle, reports, etc.) to: 📩 hello@ignitern.in Shortlisted candidates will be contacted for a brief assignment or interview.

Description Brief Job Overview The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem. How will YOU create impact here at USP? In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments. Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions. Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner. Use natural language processing techniques to extract information and improve business workflows. Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding. Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Education: Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience. Experience: Data Scientist: 3 – 6 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Senior Data Scientist: 6 - 10 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL Proficiency in CNN/ RNN models. Proficiency in using GenAI concepts with graph data. Experience with data extraction and scraping. Experience with XML documents and DOM model. Additional Desired Preferences Master’s degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program) Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences Experience with pharmaceutical / IQVIA datasets and nomenclature Experience translating stakeholder needs into technical project outputs Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies. Ability to explain complex technical issues to a non-technical audience Self-directed and able to handle multiple concurrent projects and prioritize tasks independently Able to make tough decisions when trade-offs are required to deliver results Strong communication skills required: Verbal, written, and interpersonal Supervisory Responsibilities This is non-supervisory position Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Job Title: Data Scientist – Python Experience: 3 to 6 Years Location: Remote Job Type: Full-Time Education: B.E./B.Tech or M.Tech in Computer Science, Data Science, Statistics, or a related field Job Summary We are seeking a talented and results-driven Data Scientist with 3–6 years of experience in Python-based data science workflows. This is a remote, full-time opportunity for professionals who are passionate about solving real-world problems using data and statistical modeling. The ideal candidate should be highly proficient in Python and have hands-on experience with data exploration, machine learning, model deployment, and working with large datasets. Key Responsibilities Analyze large volumes of structured and unstructured data to generate actionable insights Design, develop, and deploy machine learning models using Python and related libraries Collaborate with cross-functional teams including product, engineering, and business to define data-driven solutions Develop data pipelines and ensure data quality, consistency, and reliability Create and maintain documentation for methodologies, code, and processes Communicate findings and model results clearly to technical and non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Skills & Qualifications 3–6 years of experience in a data science role using Python Proficiency in Python data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) Strong statistical analysis and modeling skills Experience with machine learning algorithms (classification, regression, clustering, etc.) Familiarity with model evaluation, tuning, and deployment techniques Hands-on experience with SQL and working with large databases Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Experience with version control (Git), Jupyter notebooks, and collaborative data tools Preferred Qualifications Advanced degree (Master’s preferred) in Computer Science, Data Science, Statistics, or a related discipline Experience with deep learning frameworks like TensorFlow or PyTorch is a plus Familiarity with MLOps tools such as MLflow, Airflow, or Docker Experience in remote team collaboration and agile project environments What We Offer 100% remote work with flexible hours Competitive compensation package Access to cutting-edge tools and real-world projects A collaborative and inclusive work culture Opportunities for continuous learning and professional development Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Role: Data Science Trainer / Faculty Responsibilities: Conduct training sessions in Python, Machine Learning, Data Analysis , etc. Prepare study materials, assignments, and project guidelines. Guide students on live projects and case studies . Stay updated with latest trends in Data Science and tools. Requirements: Strong command of Python, NumPy, Pandas, Matplotlib, Scikit-learn . Knowledge of ML algorithms , model evaluation, and visualization. Good communication and mentoring skills. Graduation/Post-Graduation in Computer Science/Data Science or related field. Why Join Us? ✅ Friendly and supportive academic environment ✅ Scope for growth and certifications ✅ Opportunity to inspire the next generation of data professionals Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Paid sick time Work Location: In person

Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Gurugram Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Knowledge of Machine Learning algorithms and their real-world applications. Understanding ofstatistics, data preprocessing, and EDA. Excellent communication and presentation skills. Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in teaching/training or industry experience in data science roles. Prior experience as a trainer or mentor is a plus. Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: Competitive salary up to ₹50,000/month . Flexible working hours Exposure to a large network of learners and tech professionals. Opportunity to work on live projects and build personal brand through content/webinars.

Job Title: Python & Data Science Trainer Location: Kannur , Kerala Employment Type: Full-Time / Part-Time Experience: 06 to 2years ( Freshers also can apply) Qualification: Any Degree Reporting To: Academic Head / RTH Job Summary: We are seeking a skilled and passionate Python & Data Science Trainer to join our academic team. The trainer will be responsible for delivering high-quality training sessions to students, professionals, and corporate clients in Python programming, data analysis, and machine learning techniques. Key Responsibilities: Design and deliver comprehensive training modules in Python, Data Science, and Machine Learning Conduct classes (online/offline) for students, job seekers, and working professionals Develop curriculum content, assignments, projects, and real-world case studies Prepare assessments, quizzes, and capstone projects to evaluate student understanding Keep course material up to date with the latest industry trends and tools Guide students on projects and support them during practical sessions Assist in the development of internal tools, demos, and data-driven models Take ownership of student performance, engagement, and satisfaction Key Skills & Tools Required: Strong programming knowledge in Python Core Python , OOPs, File Handling, Libraries (NumPy, Pandas, Matplotlib, etc.) Data Analysis , Exploratory Data Analysis (EDA) , Data Cleaning Statistics & Probability for Data Science Machine Learning algorithms : Linear/Logistic Regression, Decision Trees, Random Forest, KNN, SVM, etc. Model evaluation techniques , Cross-validation, Confusion Matrix, etc. Hands-on with Jupyter Notebook , Google Colab , Anaconda Familiarity with SQL , Power BI/Tableau , or Deep Learning is a plus Excellent communication, presentation, and mentoring skills Preferred Certifications: Python Certification (e.g., PCEP, PCAP) Data Science Certification (Coursera, Udemy, IBM, Google, etc.) Machine Learning or AI specialization certificates Salary: As per industry standards Perks: Performance bonuses, training certifications, and growth opportunities Job Types: Full-time, Permanent, Fresher Pay: ₹12,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid time off Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Yearly bonus Application Deadline: 04/08/2025 Expected Start Date: 04/08/2025

Job Purpose Hands-on data automation engineer with strong Python or Java coding skills and solid SQL expertise, who can work with large data sets, understand stored procedures, and independently write data-driven automation logic. Develop and execute test cases with a focus on Fixed Income trading workflows. The requirement goes beyond automation tools and aligns better with a junior developer or data automation role. Desired Skills and experience Strong programming experience in Python (preferred) or Java. Strong experience of working with Python and its libraries like Pandas, NumPy, etc. Hands-on experience with SQL, including: o Writing and debugging complex queries (joins, aggregations, filtering, etc.) o Understanding stored procedures and using them in automation Experience working with data structures, large tables and datasets Comfort with data manipulation, validation, and building comparison scripts Nice to have: Familiarity with PyCharm, VS Code, or IntelliJ for development and understanding of how automation integrates into CI/CD pipelines Prior exposure to financial data or post-trade systems (a bonus) Excellent communication skills, both written and verbal Experience of working with test management tools (e.g., X-Ray/JIRA). Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the need for close supervision and collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key Responsibilities Write custom data validation scripts based on provided regression test cases Read, understand, and translate stored procedure logic into test automation Compare datasets across environments and generate diffs Collaborate with team members and follow structured automation practices Contribute to building and maintaining a central automation script repository Establish and implement comprehensive QA strategies and test plans from scratch. Develop and execute test cases with a focus on Fixed Income trading workflows. Driving the creation of regression test suites for critical back-office applications. Collaborate with development, business analysts, and project managers to ensure quality throughout the SDLC. Provide clear and concise reporting on QA progress and metrics to management. Bring strong subject matter expertise in the Financial Services Industry, particularly fixed income trading products and workflows. Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on different environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and managing client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

As a Senior Data and Applied Scientist, you will work with Pattern's Data Science team to curate and analyze data and apply machine learning models and statistical techniques to optimize advertising spend on ecommerce platforms. What You’ll Do Design, build, and maintain machine learning and statistical models to optimize advertising campaigns to improve search visibility and conversion rates on ecommerce platforms. Continuously optimize the quality of our machine learning models, especially for key metrics like search ranking, keyword bidding, CTR and conversion rate estimation Conduct research to integrate new data sources, innovate in feature engineering, fine-tuning algorithms, and enhance data pipelines for robust model performance. Analyze large datasets to extract actionable insights that guide advertising decisions. Work closely with teams across different regions (US and India), ensuring seamless collaboration and knowledge sharing. Dedicate 20% of time to MLOps for efficient, reliable model deployment and operations. What We’re Looking For Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related field. 3-6 years of industry experience in building and deploying machine learning solutions. Strong data manipulation and programming skills in Python and SQL and hands-on experience with libraries such as Pandas, Numpy, Scikit-Learn, XGBoost. Strong problem-solving skills and an ability to analyze complex data. In depth expertise in a range of machine learning and statistical techniques such as linear and tree-based models along with understanding of model evaluation metrics. Experience with Git, AWS, Docker, and MLFlow is advantageous. Additional Pluses Portfolio: An active Kaggle or Github profile showcasing relevant projects. Domain Knowledge: Familiarity with advertising and ecommerce concepts, which would help in tailoring models to business needs. Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title : Python Developer (Deep Learning / AI) Job Summary : We are seeking a highly skilled and experienced Python Developer with a strong background in Deep Learning to join our dynamic AI/ML team. The ideal candidate will be instrumental in designing, developing, and deploying advanced deep learning models, with a particular focus on face recognition systems and other computer vision applications. You will work on the entire ML lifecycle, from data acquisition and model training to deployment and optimization, contributing directly to our core AI initiatives. Key Responsibilities : ● Design, develop, and implement robust and scalable deep learning models for face recognition, object detection, and other computer vision tasks. ● Develop and maintain high-quality Python code for data preprocessing, model training, evaluation, and deployment. ● Collaborate with data scientists, AI researchers, and software engineers to integrate deep learning solutions into existing and new products. ● Perform extensive data analysis, feature engineering, and data augmentation to prepare datasets for deep learning models. ● Evaluate, optimize, and fine-tune deep learning models for performance, accuracy, and efficiency in production environments. ● Stay up-to-date with the latest advancements in deep learning, computer vision, and AI research, and apply relevant techniques to projects. ● Implement and adhere to best practices for MLOps, including version control, continuous integration/deployment (CI/CD) for ML models, and model monitoring. ● Contribute to the entire machine learning lifecycle, from problem definition and data exploration to model deployment and maintenance. ● Ensure the ethical and responsible development of AI systems, with a focus on bias detection and mitigation, and data privacy (e.g., GDPR compliance). Qualifications : Education : ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. A Ph.D. is a plus. Experience : ● 3+ years of professional experience as a Python Developer, with a significant focus on deep learning projects. ● Proven experience in developing and deploying computer vision applications, specifically face recognition systems. Technical Skills : ● Expert-level proficiency in Python and its ecosystem for AI/ML (NumPy, Pandas, Matplotlib, Seaborn). ● Strong expertise in Deep Learning frameworks: TensorFlow and/or PyTorch (including Keras). ● In-depth knowledge of Convolutional Neural Networks (CNNs) and other relevant neural network architectures (e.g., RNNs, GANs, Transformers). ● Solid understanding of Computer Vision fundamentals and practical experience with libraries like OpenCV. ● Experience with face detection, face alignment, feature embedding (e.g., FaceNet), and face matching algorithms. ● Familiarity with liveness detection techniques is highly desirable. ● Proficiency in data manipulation, preprocessing, and feature engineering for large datasets. ● Strong understanding of core mathematical concepts: linear algebra, calculus, probability, and statistics. ● Experience with cloud platforms (AWS, Azure, GCP) for training and deploying ML models. ● Familiarity with MLOps tools and practices (e.g., Docker, MLflow, Kubernetes). ● Experience with version control systems (Git). Soft Skills ● Excellent problem-solving and analytical abilities. ● Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. ● High degree of curiosity and a passion for continuous learning in the rapidly evolving AI field. ● Proactive, adaptable, and able to work effectively in a fast-paced, team-oriented environment. ● Commitment to ethical AI development and data privacy. Bonus Points : ● Experience with other programming languages like C++ or Java for high-performance computing. ● Contributions to open-source AI/ML projects or relevant publications. ● Experience with distributed computing for large-scale model training. ● Knowledge of specialized hardware for AI (GPUs, TPUs). Interested candidates can forward their resume at hr@axepertexhibits.com or call at 9211659314. Job Type: Full-time Pay: ₹35,000.00 - ₹60,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

Job Summary: We are seeking a highly skilled and motivated Python Developer with 5 years of hands-on experience in designing, developing, and deploying scalable software solutions. The ideal candidate will have strong expertise in Python programming, with a solid grasp of backend development, APIs, and cloud services. You’ll work with a cross-functional team of developers, data engineers, and product managers to build high-quality, high-performance applications. Key Responsibilities: Design, develop, test, and deploy robust backend systems using Python. Develop RESTful and/or GraphQL APIs for web and mobile applications. Collaborate with front-end developers and product teams to deliver integrated solutions. Optimize applications for speed and scalability. Write clean, maintainable, and efficient code following best practices. Integrate third-party APIs and data sources as needed. Participate in code reviews and mentor junior developers. Troubleshoot, debug, and upgrade existing software. Work with DevOps teams to automate deployments and monitor applications. Maintain clear documentation of code and system architecture. Required Skills & Qualifications: Strong proficiency in Python (OOP, data structures, file handling, exception management, etc.) Experience with popular Python frameworks : Django, Flask, FastAPI (at least one is mandatory). Good knowledge of RESTful API development and integration . Solid understanding of relational databases like PostgreSQL or MySQL, and ORMs like SQLAlchemy or Django ORM. Familiarity with NoSQL databases like MongoDB, Redis is a plus. Experience with version control systems (Git, GitHub/GitLab/Bitbucket). Familiar with Docker and containerized environments. Exposure to CI/CD pipelines , deployment, and monitoring tools. Experience working in Agile/Scrum environments. Familiarity with unit testing (e.g., pytest, unittest). Knowledge of asynchronous programming (asyncio, Celery) is a plus. Cloud experience (e.g., AWS, GCP, Azure) is preferred but not mandatory. Nice-to-Have Skills: Knowledge of data processing frameworks (e.g., Pandas, NumPy) and data pipelines (e.g., Airflow). Security best practices for APIs and application development. Understanding of design patterns and scalable architecture. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and within a team. Good communication and collaboration skills. Strong attention to detail and a commitment to delivering high-quality software. Job Types: Full-time, Permanent, Fresher Pay: ₹540,000.00 - ₹720,000.00 per year Benefits: Flexible schedule Paid time off Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Application Question(s): What is your Current Annual CTC? What is your Expected Annual CTC? Experience: Python: 5 years (Required) Back-end development: 5 years (Required) Work Location: In person

Full Time Guwahati Experience - CTC- Best In Industry Job Description We are seeking a talented and experienced Data Engineer / Python Backend Engineer to join our dynamic team. The ideal candidate should have a strong background in Python development, with proficiency in backend frameworks such as FastAPI and Django. Additionally, they should possess solid expertise in data engineering concepts and tools, including Pandas, Numpy and Dataframe API. Experience with data warehousing, data modeling, and scaling techniques is highly desirable. Roles and Responsibilities Design, develop, and maintain backend services and APIs using FastAPI and Django. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Implement data engineering pipelines for processing, transforming, and analyzing large datasets. Optimize data storage and retrieval processes for performance and scalability. Ensure data quality and integrity through rigorous testing and validation procedures. Stay up-to-date with emerging technologies and best practices in data engineering and backend development. Required Skills Bachelor’s degree in computer science, Engineering, or related field. 2+ years of experience in Python development, with a focus on backend frameworks like FastAPI and Django. Expertise in Object Oriented Design, Database Design is must. Proficiency in database technologies such as PostgreSQL and MySQL. Hands-on experience writing SQL queries and knowledge about query performance optimization. Strong understanding of data engineering frameworks, including Pandas, Numpy, and Polars(optional). Familiarity with data warehousing concepts and methodologies. Solid grasp of scaling techniques and optimization strategies for handling large datasets. Nice to Have: Familiarity with Pyspark and Kafka. Experience with containerization tools like Docker. Familiarity with cloud platforms such as AWS or Azure.

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our Current Technical Environment Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What We Are Looking For Bachelor’s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What You Will Do As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Hello, We are seeking a highly skilled and motivated Python Developer having 2 to 3 years of expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our technology team. The ideal candidate will have a strong foundation in Python programming, experience with AI/ML frameworks, and the ability to build scalable, intelligent systems that solve real-world problems. Experience : Minimum 2 to 3 years Required Skills: Programming: Strong proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, etc. AI/ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar libraries. Understanding of supervised, unsupervised, and deep learning algorithms. Data Handling: Expertise in data preprocessing, feature engineering, and visualization. Familiarity with SQL and NoSQL databases. Tools & Technologies: Experience with Jupyter Notebooks, Git, Docker, and REST APIs. Familiarity with cloud platforms like AWS, Azure, or GCP is a plus. Soft Skills: Problem-solving and analytical thinking. Effective communication and teamwork. Self-motivated and adaptable to fast-changing environments. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. 2+ years of experience in Python development with a focus on AI/ML. Previous experience in deploying ML models to production environments. Key Responsibilities: 1. Design, develop, and deploy AI/ML models using Python and associated frameworks. 2. Collaborate with data scientists, engineers, and product teams to implement intelligent features in applications. 3. Collect, preprocess, and analyze structured and unstructured data for training and evaluation. 4. Build APIs or services to serve AI/ML models in production environments. 5. Optimize model performance and monitor outcomes for accuracy and relevance. 6. Research and implement best practices, tools, and technologies in the AI/ML ecosystem. 7. Maintain proper documentation and version control of code and models. 8. Ensure scalability, efficiency, and security of deployed solutions. Work location : Madurai & Madurai based candidates are highly preferred. Office timings : 10 AM to 7:30 PM Interested candidates can forward their updated resume to this Whatsapp Number +918122781352 Telephonic interview will be initially held for the experienced candidates & Based on the performance further details will be discussed. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Data Engineer at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role As an Apprentice- Data Ops Engineer, you will be an integral part of our Data Engineering team, working towards transforming and analyzing healthcare data to contribute to the enhancement of population health and the reduction of healthcare costs. This role offers a unique opportunity for a self starter with a passion for data engineering to learn and grow within a dynamic and innovative environment. A Day in the Life Collaborate with the data services team to manipulate and transform healthcare data effectively. Assist in the creation of analytical reports tailored for US health care customers. Contribute to the design and development of interfaces facilitating workflows between the Data Activation Platform and third-party client systems. Follow industry best practices and standards while defining and documenting best practices and message specifications. Monitor and optimize interface configurations for high availability once deployed in production environments. Gain an understanding of data warehousing concepts and implement best practices and supporting database performance tuning, indexing, and query optimization. What You Need B.E/B.Tech/M.Tech in computer science or related field of batch2019,2020,2021,2022,2023 or 2024only. Must be available for apprenticeship tenure of minimum 1 year. Basic understanding of data modeling concepts. Exposure to SQL and the ability to write simple queries. Eagerness to learn and work with Python libraries,such as Numpy,Scipy,Scikit-Learn. Interest in BI tools like Power BI,Tableau,or Sisense. Strong analytical and problem-solving skills. Excellent oral and written communication skills. Enthusiasm for multitasking and managing multiple tasks simultaneously. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of upto 40days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness,disease or injury. Pet-Friendly Office*: Spend more time with your treasured friends,even when you're away from home.Bring your furry friends with you to the office and let your colleagues become their friends too.*Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first.*India offices. Where and how we work Our Noida office is situated in a posh tech space, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual-orientation, national origin, genetics, disability, age, marital status or veteran status, feel valued and empowered.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Launch Your Career in AI/ML – We’re Hiring Freshers! Location: Ahmedabad (Work from Office) Company: MPIRIC Web Services Role: AI/ML Intern Type: Full-Time | Internship | In-office Are you a recent graduate eager to explore the world of Artificial Intelligence & Machine Learning? Join our AI/ML Internship Program and gain real-world experience working on live projects, guided by industry experts. If you’re passionate about AI and love coding in Python, this is the opportunity for you! What You’ll Work With: Programming Languages: Python (must-have) (Bonus) C++ for performance-heavy tasks ML Frameworks: PyTorch or TensorFlow/Keras (hands-on with one is enough) Scikit-learn for traditional ML models Data Handling & Visualization: NumPy, Pandas, Matplotlib, Seaborn Comfortable with cleaning, analyzing & visualizing data Computer Vision (optional but cool): OpenCV for image processing YOLOv5/v8, MediaPipe (nice to have!) Deployment (basic exposure): Flask / FastAPI for APIs Docker (bonus) ONNX / TensorRT (only if you’re curious) Cloud & Tools: Google Colab (Required) Jupyter Notebooks ( Must-know) AWS/GCP/Azure (not required, but great if you’ve tried!) What You Should Know (Even at Basic Level): Linear Algebra, Calculus, Probability Cost Functions, Backpropagation Basics ML Concepts: Supervised vs Unsupervised CNNs, RNNs, Transformers – basic awareness Model evaluation: Accuracy, Precision, Recall, F1 Score Projects to Show (If You Have): Image classification / object detection YOLO-based mini projects Flask-deployed ML model Kaggle competition participation Anything cool on GitHub! What We’re Looking For: ✔ Strong desire to learn & grow ✔ Clear understanding of Python basics ✔ Enthusiasm for AI & solving problems ✔ Ability to explain your thought process ✔ Based in Ahmedabad (In-office internship only) What You’ll Get: Hands-on project experience Internship Certificate + LOR Mentorship from experienced developers Pre-placement opportunity for top performers Supportive, learning-focused environment Job Types: Full-time, Fresher Schedule: Monday to Friday Work Location: In person

🤖 Machine Learning Intern – Remote | Learn AI by Building It 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate After Completion || Letter of Recommendation (6 Months) 🕒 Schedule: 5–7 hrs/week | Flexible Timing Join Skillfied Mentor as a Machine Learning Intern and move beyond online courses. You’ll work on real datasets, build models, and see your algorithms in action — all while gaining experience that hiring managers actually look for. Whether you're aiming for a career in AI, data science, or automation — this internship will build your foundation with hands-on learning. 🔧 What You’ll Do: Work with real datasets to clean, preprocess, and transform data Build machine learning models using Python, NumPy, Pandas, Scikit-learn Perform classification, regression, and clustering tasks Use Jupyter Notebooks for experimentation and documentation Collaborate on mini-projects and model evaluation tasks Present insights in simple, digestible formats 🎓 What You’ll Gain: ✅ Full Python course included during the internship ✅ Hands-on projects to showcase on your resume or portfolio ✅ Certificate of Completion + LOR (6-month internship) ✅ Experience with industry-relevant tools & techniques ✅ Remote flexibility — manage your time with just 5–7 hours/week 🗓️ Application Deadline: 5th August 2025 👉 Apply now to start your ML journey with Skillfied Mentor

🤖 Data Science Intern – Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib/Seaborn Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 5th August 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

🤖 Data Science Intern – Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 5th August 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

Job Title - Sr. Data Engineer Experience - 2+ Years Location - Indpre (onsite) Industry - IT Job Type - Full ime Roles and Responsibilities- 1. Design and develop scalable data pipelines and workflows for data ingestion, transformation, and integration. 2. Build and maintain data storage systems, including data warehouses, data lakes, and relational databases. 3. Ensure data accuracy, integrity, and consistency through validation and quality assurance processes. 4. Collaborate with data scientists, analysts, and business teams to understand data needs and deliver tailored solutions. 5. Optimize database performance and manage large-scale datasets for efficient processing. 6. Leverage cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark, Kafka) for building robust data solutions. 7. Automate and monitor data workflows using orchestration frameworks such as Apache Airflow. 8. Implement and enforce data governance policies to ensure compliance and data security. 9. Troubleshoot and resolve data-related issues to maintain seamless operations. 10. Stay updated on emerging tools, technologies, and trends in data engineering. Skills and Knowledge- 1. Core Skills: ● Proficient in Python (libraries: Pandas, NumPy) and SQL. ● Knowledge of data modeling techniques, including: ○ Entity-Relationship (ER) Diagrams ○ Dimensional Modeling ○ Data Normalization ● Familiarity with ETL processes and tools like: ○ Azure Data Factory (ADF) ○ SSIS (SQL Server Integration Services) 2. Cloud Expertise: ● AWS Services: Glue, Redshift, Lambda, EKS, RDS, Athena ● Azure Services: Databricks, Key Vault, ADLS Gen2, ADF, Azure SQL ● Snowflake 3. Big Data and Workflow Automation: ● Hands-on experience with big data technologies like Hadoop, Spark, and Kafka. ● Experience with workflow automation tools like Apache Airflow (or similar). Qualifications and Requirements- ● Education: ○ Bachelor’s degree (or equivalent) in Computer Science, Information Technology, Engineering, or a related field. ● Experience: ○ Freshers with strong understanding, internships and relevant academic projects are welcome. ○ 2+ years of experience working with Python, SQL, and data integration or visualization tools is preferred. ● Other Skills: ○ Strong communication skills, especially the ability to explain technical concepts to non-technical stakeholders. ○ Ability to work in a dynamic, research-oriented team with concurrent projects. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,000,000.00 per year Benefits: Paid sick time Provident Fund Work from home Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Ability to commute/relocate: Niranjanpur, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data Engineer: 2 years (Preferred) Work Location: In person Application Deadline: 31/08/2025

Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Chandigarh Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Knowledge of Machine Learning algorithms and their real-world applications. Understanding ofstatistics, data preprocessing, and EDA. Excellent communication and presentation skills. Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in teaching/training or industry experience in data science roles. Prior experience as a trainer or mentor is a plus. Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: Competitive salary up to ₹50,000/month . Flexible working hours Exposure to a large network of learners and tech professionals. Opportunity to work on live projects and build personal brand through content/webinars.

!!!! We are Hiring a Data Scientist (Remote)!!! Job Summary: We are seeking an experienced Data Scientist with 5 to 6 years of hands-on experience to join our analytics and AI/ML team. The ideal candidate has a strong background in statistics, machine learning, data engineering, and business analytics, and is capable of turning complex data into actionable insights and predictive solutions. Key Responsibilities: • Work with stakeholders to identify business problems and translate them into data science solutions. • Build, evaluate, and deploy machine learning and statistical models. • Perform data wrangling, feature engineering, and exploratory data analysis (EDA) on large datasets. • Design and implement data pipelines and ETL processes. • Collaborate with engineering teams to deploy models into production. • Interpret model results, validate assumptions, and communicate findings to non-technical stakeholders. • Continuously monitor model performance and retrain as necessary. • Stay up to date with the latest trends, tools, and technologies in data science and AI. Required Skills & Qualifications: • 5–6 years of experience in a data science or machine learning role. • Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) • Solid knowledge of machine learning algorithms, deep learning, NLP, or time series forecasting. • Experience with SQL and relational databases. • Experience with data visualization tools like QuickSight, Power BI, or Matplotlib/Seaborn. • Proficiency with cloud platforms like AWS. • Familiarity with version control systems (Git), Docker, and CI/CD workflows. • Strong communication skills and ability to present technical findings clearly to business stakeholders. Preferred Qualifications: • Master's in Computer Science, Statistics, Data Science, Mathematics, or a related field. • Experience working with big data tools such as Spark or Kafka. • Prior experience in industries such as healthcare or retail. • Background in MLOps or data science productization is a plus. Send the resume to HR@muverity.com

Company Description : ExcelR is a premier training provider specializing in delivering top-tier professional courses in domains such as Data Analytics, Data Science,Full stack, Agile Methodologies, Project Management, IT Service Management, and Quality Assurance. are committed to empowering professionals to achieve accelerated career growth. Our course portfolio includes globally recognized certifications such as PMP, PMI-ACP, Six Sigma, and ITIL. Job Opportunity: Senior Training Instructor (Full-Time, On-Site) Location: Bangalore & Hyderabad We are currently hiring Senior Training Instructors for the following specialized tracks: Data Analyst/Business Analyst Data Science Digital Marketing As a Senior Training Instructor, you will be responsible for delivering high-quality, interactive training sessions and providing guidance and mentorship to learners, ensuring their successful career development. Skill Sets Required 🔹 Data Analyst Proficiency in Excel, SQL, Power BI/Tableau Data cleaning, data visualization, and dashboarding Understanding of statistics and reporting techniques Knowledge of Python or R (preferred) Strong knowledge of SDLC, Agile, and Waterfall methodologies Proficiency in tools like MS Visio, Jira, and Balsamiq Requirement gathering, stakeholder management, and process modeling Excellent analytical and documentation skills 🔹 Data Science Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets 🔹 Digital Marketing In-depth knowledge of SEO, SEM, and Social Media Marketing Experience with tools like Google Ads, Google Analytics, and Search Console, Familiarity with email marketing, content strategy, and performance marketing, Hands-on expertise in campaign planning, execution, and ROI tracking, Proficiency in tools such as Meta Ads Manager, Mailchimp, and HubSpot, Strong understanding of digital marketing trends, automation, and lead generation strategies Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design What We Offer Attractive Compensation: Competitive and in line with market standards Platform to Inspire: An opportunity to share your industry knowledge and shape the next generation of professionals Interested? Share your resume with yourus at mail to: balaji.k@excelr.com or:sayyad.siddiq@excelr.com. We look forward to collaborating with you!

Company Description Webbrains Technologies Private Ltd. is an Australian-based IT firm with developmental locations in India. Offering a wide range of IT services such as Web Designing, Mobile Application Development, Custom Software Solutions, and more, we cater to clients across over 42 countries. Our expertise spans numerous technologies including React JS, Node JS, Python, PHP, iOS, Android, and many others. We provide comprehensive IT solutions to diverse industries such as Healthcare, Finance, Media, and Hospitality, and also offer dedicated remote IT resources on a contract basis. Job Overview: We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will have strong expertise in building and deploying machine learning models, data analysis, and algorithm development. Experience in the healthcare domain is a significant advantage. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models . Analyze complex data sets to drive actionable insights and solutions. Work on end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment. Collaborate with data engineers, software developers, and domain experts to integrate ML solutions into products. Conduct research and stay updated with the latest developments in AI/ML technologies. Optimize model performance and troubleshoot any issues during development or deployment. Document experiments, code, and reports clearly and efficiently. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–4 years of hands-on experience in AI/ML development. Proficient in Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch . Experience with data preprocessing , feature selection , model validation , and hyperparameter tuning . Strong understanding of statistical modeling , classification , regression , clustering , and NLP techniques. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, Matplotlib , etc. Experience working with cloud platforms (AWS/GCP/Azure) is a plus. Prior experience in healthcare domain or medical data analytics will be an added advantage. Excellent problem-solving, analytical, and communication skills.

The Role We are hiring an AI/ML Developer (India), to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. What You Will Be Doing •Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. •Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. •Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). •Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. •Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. •Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. •Design and optimize ETL pipelines for data quality management, transformation, and validation. •Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. •Create interactive data visualizations using Tableau and Power BI to drive business insights. •Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. •Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. What You Bring Along •2+ years of experience applying AI to practical uses. •Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. •Knowledge of basic algorithms and object-oriented and functional design principles •Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn. •Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. •Experience with big data processing using Apache Spark and Snowflake. •Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services. •Strong understanding of database management, query optimization, and data warehousing. •Experience with data visualization tools such as Tableau and Power BI. •Ability to work in a collaborative environment and adapt to new AI technologies. •Strong analytical and problem solving skills. Education: •Bachelor’s degree in computer science, Data Science, AI/ML, or a related field.