6497 Machine Learning Jobs - Page 4

Undertake as site incharge at Vedanta Jharsuguda. Job Type: Full-time Pay: ₹8,469.37 - ₹20,000.00 per month Benefits: Provident Fund Schedule: Day shift Rotational shift Supplemental Pay: Yearly bonus Experience: total work: 10 years (Preferred) Work Location: In person

Job Location: Bangalore (In-person, travel to partner schools within the city) Job Type: Full-time, Permanent Schedule: Day Shift About the Role: We are looking for an enthusiastic and knowledgeable AI & Python Educator to join our STEM education team. This role involves delivering structured, interactive lessons in Artificial Intelligence, Python Programming, and Machine Learning fundamentals for students from Grades 3 to 10 . The ideal candidate should have a solid background in Python, an interest in AI/ML, and a passion for teaching school students in an engaging, project-based format. Minimal electronics exposure (only basic awareness for AI-integrated projects like AIoT) is desirable, but not mandatory. Key Responsibilities: Curriculum Delivery: Teach structured, interactive lessons on Python Programming (basics to intermediate), AI concepts, Machine Learning fundamentals , and real-world AI applications tailored for school students. Hands-On AI Projects: Guide students through practical AI projects such as image classification, object detection, chatbots, text-to-speech systems, face recognition, and AI games using Python and AI tools like Teachable Machine, PictoBlox AI, OpenCV, and scikit-learn . Concept Simplification: Break down complex AI/ML concepts like data classification, regression, clustering, and neural networks into age-appropriate, relatable classroom activities. Classroom Management: Conduct in-person classes at partner schools, ensuring a positive, engaging, and disciplined learning environment. Student Mentoring: Motivate students to think logically, solve problems creatively, and build confidence in coding and AI-based projects. Progress Assessment: Track student progress, maintain performance reports, and share timely, constructive feedback. Technical Troubleshooting: Assist students in debugging Python code, handling AI tools, and resolving software-related queries during class. Stakeholder Coordination: Collaborate with school management and internal academic teams for lesson planning, scheduling, and conducting AI project showcases. Continuous Learning: Stay updated on the latest developments in AI, Python, and education technology through training and workshops. Qualifications: Education: Diploma / BCA / B.Sc / BE / MCA / M.Sc / M.Tech in Computer Science, AI/ML, Data Science, or related fields Experience: 1 to 2 years of teaching or EdTech experience in AI/ML, Python, or STEM education preferred Freshers with a strong Python portfolio and AI project experience are encouraged to apply Skills & Competencies: Strong knowledge of Python Programming (syntax, data structures, file handling, functions, OOPs) Practical understanding of AI & Machine Learning basics Hands-on experience with AI tools like Teachable Machine, PictoBlox AI extension, OpenCV, and scikit-learn Excellent communication, explanation, and classroom management skills Student-friendly, organized, and enthusiastic about AI education Basic knowledge of electronics (optional) — for AIoT integrations (eg. using sensors with AI models) Perks & Benefits: Structured in-house AI & Python training programs Opportunity to work with reputed schools across Bangalore Career growth in the AI & STEM education sector Salary & Employment Details: Salary: ₹20,000 to ₹35,000 per month (based on experience and performance) Job Type: Full-time, Permanent Work Location: In-person, travel to schools within Bangalore city Schedule: Day shift (Monday to Saturday) Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Experience: total work: 1 year (Preferred) Work Location: In person

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Role Highlights Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required. Contributing to proposal submissions and business development initiatives under the direction of the Leadership team Designing data science solutions end to end with appropriate time estimations and resourcing Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL. Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting. Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment What You'll Tackle Each Day: Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous Ability to work and process large amounts of data/experience working with cloud environments Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential Experience with proposal submissions and business development initiatives under the direction of the Leadership team Experience in designing data science solutions from concept through to evaluation and monitoring models in production. Experience in managing teams or supporting team development Prompt engineering knowledge, with familiarity in different strategies. Exposure to various prompt engineering techniques in different scenarios

Warm Greetings from SP Staffing!! Role :Data Scientist Experience Required :5 to 10 yrs Work Location :Hyderabad/Bangalore/Chennai Required Skills, Python GCP AI Platform, BigQuery ML, Cloud AutoML, and Vertex AI. Interested candidates can send resumes to nandhini.spstaffing@gmail.com

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

JOB DESCRIPTION Job Title - Product Manager Department/Group - Product Management Location - Bangalore Experience - 6 - 10 Years Looking for candidates with Experience in HR Tech, and B2C Product Experience Summary entomo is an Equal Opportunity Employer. The company promotes and supports a diverse workforce at all levels across the Company. The Company ensures that its associates or potential hires, third-party support staff and suppliers are not discriminated against, directly or indirectly, as a result of their colour, creed, cast, race, nationality, ethnicity or national origin, marital status, pregnancy, age, disability, religion or similar philosophical belief, sexual orientation, gender or gender reassignment, etc. Product Manager who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the companys vision and strategy. As a product manager on our dynamic and driven team, you will be responsible for owning the development and delivery of new features and enhancements in our SaaS product. Develops products by identifying potential products; conducting market research; generating product requirements; determining specifications, production timetables, pricing, and time-integrated plans for product introduction, developing marketing strategies. Responsibilities Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth. Create buy-in for the product vision both internally and with key external partners. Work with Product Owners and Engineering team to Translate product strategy into detailed requirements and prototypes. Scope and prioritize features and releases based on business and customer impact. Work closely with engineering teams to deliver with quick time-to-market and optimal resources. Drive product Releases including working with Front end teams Customer success, Sales team, executives, and other product management team members. • Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed. Act as a product evangelist to build awareness and understanding. Represent the company by visiting customers to solicit feedback on company products and services. Drives the product and is responsible for the feature releases are in the product both on Mobile and Web Platforms. Determine customers' needs and desires by specifying the research needed to obtain market information. Recommend the nature and scope of present and future product lines by reviewing product specifications and requirements, appraising new product ideas and/or product or packaging changes. Assess market competition by comparing the company's product to competitors' products. Obtain feedback from customers/Customer Success teams and enhance product. Have clear short term and long-term roadmap of the overall product. Brings new products to market by analysing proposed product requirements and product development programs, preparing effort estimates, establishing time schedules with engineering. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Contributes to team effort by accomplishing related results as needed. Essential Skills Experience working with Generative AI technologies such as GPT (Generative Pretrained Transformer) models is highly desirable. Proven track record of managing all aspects of a successful product throughout its lifecycle in BI & Analytics space. Expertise in any of the leading BI & Analytics tools Tableau, Qlikview, Sisense, Power BI or similar. Expertise in Data Engineering, Data modelling, Data / Text Analytics, Data visualization, Data connectors. Sound knowledge or experience in Machine learning, Deep Learning, Python, or any of the ML products Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management. Expertise in Product Management, Product Development, Requirements Analysis, Planning, Competitive Analysis and Strategy in BI & Analytics space Expertise in SDLC, Agile Scrum methodology in product development & product support. Expert in creating User Stories in Task management tools like Jira. Excellent analytical and problem-solving skills. Passionate about building class products on both web and mobile. Strong leader, self-starter and proven team player in a high achievement-oriented environment Excellent relationship skills, ability to establish credibility and rapport with technical and non-technical team members and to work collaboratively and cross functionally. Good understanding of developing Performance Management/HRMS products and technologies. Must be tech-savvy with the ability to understand technology capabilities and processes. Ability to juggle multiple priorities and thrive in a fast-paced environment. Team player Competenc Strategy Development Team Management Technical Competence Leadership skills Educational Qualification and Experience Required MS/ME/BS/BE degree in Computer Science, Engineering or equivalent preferred. MBA Graduate Minimum 6 - 10 years of Product experience

Job Title: Technical Program Manager Data Engineering & Analytics Experience : 16 - 25 Years ( Relevant Years ) Salary : Based on Current CTC Location : Chennai and Hyderabad Notice Period : Immediate Joiners Only. Critical Expectations : 1 ) Candidate should have handled min 100 people Team size. 2) Should Have Min 8 Years experience into Data and AI Development 3) Should have exp in Complex Data Migration in Cloud. Position Overview: We are seeking an experienced Program Manager to lead large-scale, complex Data, BI, and AI/ML initiatives. The ideal candidate will have a deep technical understanding of modern data architectures, hands-on expertise in end-to-end solution delivery, and a proven ability to manage client relationships and multi-functional teams. This role will involve driving innovation, operational excellence, and strategic growth within Data Engineering & Analytics programs. Job Description: Responsible to manage large and complex programs encompassing multiple Data, BI and AI/ML solutions Lead the design, development, and implementation of Data Engineering & Analytics solution involving Teradata, Google Cloud Data Platform (GCP) platform, AI/ML, Qlik, Tableau etc. Work closely with clients in understanding their needs and translating them to technology solutions Provide technical leadership to solve complex business issues that translate into data analytics solutions Prepare operational/strategic reports based on defined cadences and present to steering & operational committees via WSR, MSR etc Responsible for ensuring compliance with defined service level agreements(SLA) and Key performance indicators(KPI) metrics Track and monitor the performance of services, identify areas for improvement, implement changes as needed Continuously evaluate and improve processes to ensure that services are delivered efficiently and effectively Proactive identification of issues and risks, prepare appropriate mitigation/resolution plans Foster positive work environment and build culture of automation & innovation to improve service delivery performance Developing team as coach, mentor, support, and manage team members Creating SOW, Proposals, Solution, Estimation for Data Analytics Solutions Contribute in building Data Analytics, AI/ML practice by creating case studies, POC etc Shaping opportunities and create execution approaches throughout the lifecycle of client engagements Colloborate with various functions/teams in the organization to support recruitment, hiring, onboarding and other operational activities Maintain positive relationship with all stakeholders and ensure proactive response to opportunities and challenges. Must Have Skills : Deep hands-on expertise in E2E solution life cycle management in Data Engineering and Data Management. Strong technical understanding of modern data architecture and solutions Ability to execute strategy for implementations through a roadmap and collaboration with different stakeholders Understanding of Cloud data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT Would be good to have experience in driving AI/ML, GenAI projects Experience with cloud-based data analytic platforms such as GCP, Snowflake, Azure etc Good understanding of SDLC and Agile methodologies Would be good to have a Telecom background. Must gave handled team size of 50+ Qualification: 15-20 yrs experience primarily working on Data Warehousing, BI& Analytics, Data management projects as Tech Architect, delivery, client relationship and practice roles - involving ETL, reporting, big data and analytics. Experience architecting, designing & developing Data Engineering, Business Intelligence and reporting projects Experience on working with data management solutions like Data Quality, Metadata, Master Data, Governance. Strong experience in Cloud Data migration programs Focused on value, innovation and automation led account mining Strong Interpersonal, stakeholder management and team building skills

We are seeking a skilled and motivated Medical Research Scientist to conduct high-quality clinical and biomedical research aimed at advancing medical knowledge and improving patient care. The candidate will be responsible for planning and executing research studies, analyzing clinical data, preparing scientific publications, and collaborating with healthcare professionals and research teams. ⸻ Key Responsibilities: Design, plan, and implement medical and clinical research studies. Conduct clinical trials or observational studies following ethical and regulatory guidelines (e.g., ICMR, GCP, ICH). Collect, manage, and statistically analyze patient data using appropriate software (SPSS, R, SAS). Collaborate with physicians, biostatisticians, and regulatory teams. Prepare and submit research protocols for ethical review and approval (Institutional Ethics Committee/IRB). Write research papers, abstracts, and case reports for publication in medical journals and presentation at conferences. Assist in securing research funding through grant proposals. Ensure compliance with clinical research standards, patient confidentiality laws, and institutional policies. Job Type: Full-time Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Work Location: In person

Location : Bangalore (Hybrid) Experience : 35 Years Work Mode : Hybrid (2–3 days onsite/week) Apply To : gopi.c@acesoftlabs.com | 9701923036 Job Description We are looking for a skilled and analytical Data Scientist to join our team. The ideal candidate should have hands-on experience in building and deploying machine learning models, working with large datasets, and generating actionable insights that drive business value. Key Responsibilities Develop and deploy machine learning and statistical models Analyze large datasets to uncover trends, patterns, and insights Build dashboards and visualizations to communicate findings Work closely with engineering, product, and business teams to understand requirements Implement ETL pipelines for data preprocessing and feature engineering Continuously evaluate and improve model performance Required Skills 3–5 years of experience as a Data Scientist Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) Experience in SQL and working with relational or NoSQL databases Solid understanding of statistics , ML algorithms , and data structures Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) Experience deploying models into production environments Nice to Have Experience with Big Data technologies (Spark, Hadoop) Familiarity with Cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) Knowledge of MLOps tools (MLflow, Airflow, Docker) Experience with NLP or time-series modelin

Job Title: Data Scientist Location: Gurugram, Haryana Job Type: Full-Time ( WFO ) Experience Level: 2 to 4 Years Job Summary: We are seeking a highly motivated and detail-oriented Data Science Engineer with 24 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in data engineering and data science, with hands-on experience building data pipelines and supporting analytics and model deployment. Experience working with Microsoft Azure cloud services is highly desirable. Key Responsibilities: Design and maintain scalable data pipelines and workflows. Collaborate with data scientists to prepare and manage datasets for analysis and modeling. Support deployment and integration of machine learning models. Work with cloud platforms (preferably Azure) to optimize data workflows and storage. Ensure data quality, security, and compliance across systems. Document all technical solutions and maintain up-to-date documentation. Required Skills and Qualifications: 2 to 4 years of hands-on experience in Data Science roles. Proficiency in Python and SQL. Experience with data libraries and frameworks like Pandas, NumPy, or PySpark. Familiarity with ML libraries such as scikit-learn or TensorFlow. Experience with version control tools like Git. Preferred Qualifications: Working experience with Microsoft Azure services, including: Azure Data Factory, Azure Machine Learning, Azure Synapse Analytics, Azure Blob Storage or Data Lake Exposure to Agile methodologies and collaborative development tools. What We Offer: Opportunity to work on meaningful, data-driven projects. Competitive compensation and benefits. Supportive and collaborative work environment. Learning and growth opportunities in a fast-paced setting.

We are based in Pune looking to hire interns for data science internship program . Skills: data science , machine learning , python Interns can join us for College project . We are offering Hybrid internship also. interns can join us for 5 days a week. interns will get experience certificate. We provide job placement after internship. Job Type: Internship Schedule: Day shift Education: Bachelor's (Preferred) Work Location: In person

ABOUT FLUTTER ENTERTAINMENT: Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million average monthly players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game! Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. FLUTTER ENTERTAINMENT INDIA: Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. OVERVIEW OF THE ROLE: Our Data Science and AI Competence Center is looking for a motivated and versatile expert, who will work on developing and deploying AI & machine learning solutions for our business. As a Junior Data Scientist (ML and AI) , you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern office in Hyderabad, India . WHAT YOU WILL DO: Across areas such as Sports Betting, Gaming, and other products, you will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions , deploying a variety of algorithms in production and set ML-Ops standard together with the Data Scientists. Work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. TO EXCEL IN THIS ROLE, YOU WILL NEED: A degree qualified in a STEM subject along with 2 t o 4 years of experience as a Data Scientist or ML Engineer . Proficiency in Python programming language and a deep understanding of statistical and machine learning techniques. Experience manipulating large datasets using SQL and Spark . Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark) Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. Hands-on experience in ML Techniques , such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods. Excellent ability to tell a story through data and explain technical concepts to partners. Ability to Manage ML-Ops lifecycle (deploy-monitor-maintain-evolve) Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…) BENEFITS WE OFFER: Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This package includes: Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs. Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance, and a Home Office Setup Allowance. Employer PF Contribution, gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards. WHY CHOOSE US: Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India.

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience to join our Data and Analytics team in Gurgaon, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience, to join our Data and Analytics team in Bangalore, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Job Summary: As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications. In this Role, Your Responsibilities Will Be: Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AI's response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues Analyze and validate the performance of machine learning models and AI outputs critically, identify biases, edge cases through testing and ensure that the application meets the encouraged accuracy, precision, and other performance metrics Contribute to improving the overall QA processes and testing frameworks used for AI development Maintain detailed documentation of test procedures, test cases, and testing results for accountability and repeatability. Perform exploratory testing to uncover potential issues with AI application features and functionality Who You Are: Cross-functional teammate Detailed, organized, flexible, and proactive teammate Willing to accept feedback and implement changes quickly and with a positive attitude Comfortable working in an Agile development environment For This Role, You Will Need: Bachelors degree and 2+ years of relevant experience or a master’s degree and 1+ year of relevant experience Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR Outstanding English writing and verbal communication skills Ability to develop product understanding by working closely with product developers in an Agile development environment Ability to design and organize document structure Curiosity about hands-on installation, configuration and use of the software to further develop product understanding Understanding of accepted technical writing style conventions Experience in writing technical documents Ability to work collaboratively as part of a team Self-motivated and able to work independently Ability to simultaneously handle multiple projects and monitor their progress with minimal direction Excellent time management skills and ability to meet deadlines Strong research skills Preferred Qualifications that Set You Apart Bachelor's Degree in Computer Science, Engineering, or a related field. 3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development Knowledge of ethical AI principles and bias detection in AI models Proficiency with automated testing tools e.g., Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot etc.)

Job Title: Senior Data Scientist | Machine Learning Engineer (MLE) Job Location: [Mohali / Pune] Experience : 4+ years Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection Roles & Responsibilities: Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices

Requirement Brief: Idolize is an AI Tech Startup with 6+ years deep experience in Implementing HyperAutomation Solutions. We take pride in calling ourselves as one of the best solution provider in the HyperAutomation space while amalgamating multiple technologies under one roof. In this sequence, we are currently having acute focus on GenAI, LLM and NLP under the umbrella of AI technologies to enhance our capabilities in HyperAutomation while integrating these tech components in more complex automation use cases. In above context, we are in the process of setting up a dedicated COE (center of excellence) for GenAI, LLM and related technologies and looking to onboard talented individuals as GenAI Interns who have completed their base academic degree in computer science i.e. B.Tech. (CS or IT), B.E. (CS or IT), M.Tech. (CS or IT), MCA and who are passionate to build AI driven automation solutions with the help of these new age technologies. Below are the detailed requirements for this opportunity and we are eager to on-board you as early as in a week time. What is expected from you: Educational Background: Degree: Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field. Recent graduates or final-year students are encouraged to apply. We would like to have only and only 2023 and 2024 passing graduates. Please note that we are not currently interviewing candidates with B.Sc. or M.Sc. degrees hence you may choose not to apply. Technical Skills: Programming Languages: Proficiency in programming languages commonly used in AI and machine learning, such as Python. Familiarity with libraries like PyTorch or TensorFlow is highly desirable. Understanding of LLMs: Fundamental knowledge of how Large Language Models work, including transformers, attention mechanisms, and common architectures like GPT, BERT, or T5. Experience with NLP: Basic understanding of Natural Language Processing (NLP) concepts and techniques, such as tokenization, embedding, and text classification. Machine Learning Foundations: Solid understanding of machine learning principles, algorithms, and techniques. Coursework or projects in machine learning is a plus. Hands-On Experience: Projects and Internships: Experience in working on projects involving LLMs or NLP tasks. This could include internships, academic projects, hackathons, or personal projects that demonstrate practical experience with LLMs. Use of LLMs: Demonstrated experience in using pre-trained LLMs (such as GPT, BERT, etc.) for various applications. Experience in fine-tuning models for specific tasks or developing applications using LLMs is a plus. Git and Version Control: Familiarity with version control systems like Git for managing code. Soft Skills: Problem-Solving Ability: Strong analytical skills and the ability to solve complex problems independently. Communication Skills: Ability to clearly articulate ideas and collaborate effectively in a team environment. Learning Attitude: A proactive and enthusiastic approach to learning new technologies and methodologies, especially in the rapidly evolving field of GenAI. Preferred Qualifications: Research Experience: Any research experience or publications related to NLP, LLMs, or machine learning. Cloud Computing: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and experience deploying machine learning models on cloud infrastructure. Contributions to Open Source: Contributions to open-source projects, particularly those related to NLP, machine learning, or GenAI. - What is in it for you: Opportunity to work on Live use cases: From day-1 we will involve you in the production use cases across various business verticals like Banking, NBFC, Manufacturing and Insurance etc. Working in high performing environment: We encourage solution mindset colleagues who are having passion for their subject and this time it is your chance to be part of this culture Remuneration, Benefits and Rewards: We ensure that top talent in you is always recognized and you receive all your due credits be it tangible benefits or intangible one. We offer top salaries, time to time recognition and deliverables centric bonuses. More you deliver more you receive back from us Centrally located office with all amenities: Our office is in Thane Wagle Estate area which is fast growing business hub in Mumbai now. We take care of all your essential needs to ensure that you stay focussed on your main objective of solution building Pls send your resume first on talent@idolizesolutions.com . Once we review your profile and select the same, we will contact you for next round of discussion on a mutually convenient time. We generally conduct only 2 rounds of interview same day or few days apart and announce the final decision immediately thereafter. Office Address: Idolize Business Solutions AWFIS Office Space, 2nd Floor, Kalpataru Prime, Road Number 16, Wagle Industrial Estate, Thane West, 400604. Website: www.idolizesolutions.com | Phone: 7021483772 | Email: talent@idolizesolutions.com

Backend/Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Knowledge of Data Annotation preffered -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Assessment:- Data Annotation assessment Operations Round Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Good Knowledge of Data Annotation -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

Name of the position: Data Scientist Intern Location: UK No. of resources needed : 01 Mode: Internship Job Summary: Join our team as a Data Scientist Intern and contribute to the development of data-driven solutions that drive business growth and innovation. As a key member of our analytics team, you will work closely with cross-functional teams to design, implement, and analyze data-driven projects that inform business decisions. Key Responsibilities: Analyze complex data sets to identify trends, patterns, and insights that inform business decisions Develop and maintain databases, data visualizations, and statistical models to support data-driven decision making Collaborate with cross-functional teams to design and implement data-driven projects that drive business growth and innovation Communicate complex data insights and recommendations to both technical and non-technical stakeholders Stay up-to-date with industry trends and emerging technologies in data science and analytics Requirements: Masters or Bachelors degree in Computer Science, Statistics, Mathematics, or related field Proficiency in programming languages such as Python, R, or SQL Experience with data visualization tools such as Tableau, Power BI, or D3.js Strong understanding of statistical concepts and machine learning algorithms

Job_Description":" AI Software Engineer Location: Bangalore Job Type: Full Time Experience Level: Senior About the Role: We are seeking a talented AI SoftwareEngineer to join our team and help develop innovative AI-driven solutions. Youwill be responsible for designing, implementing, and optimizing AI models,integrating them into software applications, and working closely with datascientists and engineers to build scalable AI-powered products. Key Responsibilities: Design,develop, and deploy AI and machine learning models for real-world applications. Workwith large datasets to train and fine-tune models, ensuring high accuracy andefficiency. Buildand optimize deep learning architectures using frameworks like TensorFlow,PyTorch, or Scikit-learn. Developand maintain AI-driven software applications, integrating models intoproduction environments. Collaboratewith cross-functional teams, including data scientists, software engineers, andproduct managers. OptimizeAI models for performance, scalability, and deployment on cloud platforms (AWS,Azure, GCP). ImplementMLOps best practices for model versioning, deployment, and monitoring. Stayup-to-date with the latest AI research, tools, and techniques to continuouslyimprove AI capabilities. Requirements Required Qualifications: Bachelor\u2019sor Master\u2019s degree in Computer Science, AI, Machine Learning, or a relatedfield. Strongprogramming skills in Python, Java Experiencewith AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Knowledgeof NLP, Computer Vision, or Reinforcement Learning is a plus. Hands-onexperience with cloud computing (AWS, GCP, Azure) for AI model deployment. Familiaritywith data structures, algorithms, and software development best practices. Experiencewith containerization (Docker, Kubernetes) and APIs for model integration. Strongproblem-solving skills and the ability to work in a fast-paced environment. Experiencewith LLMs (Large Language Models), Generative AI, or AI-powered automation. Understandingof AI ethics, bias mitigation, and responsible AI practices. Knowledgeof big data technologies like Hadoop, Spark, or Kafka. Benefits - Workwith cutting-edge technologies and a talented team. - Competitive salary and benefitspackage. - Flexible work environment withgrowth opportunities. - Access to professional developmentand learning resources. ","

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: \u200b 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.