machine learning specialist

Rapid Labs

About Us: Rapid Labs is a leader in the AI revolution, building innovative solutions across industries such as Retail, Healthcare, Legal, and Finance. We leverage AI technologies like Computer Vision, NLP, and AI-powered Chatbots to enhance user experiences and streamline operations. Join us to contribute to impactful AI solutions and shape the future of intelligent systems.Job Overview: We are seeking a talented AI Engineer with 2+ years of experience in machine learning and AI development, who can also create clear and actionable Product Requirements Documents (PRDs). The ideal candidate will design, develop, and deploy machine learning models, while translating business and product requirements into technical specifications for AI solutions.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI systems.</li><li>Translate business needs and product goals into detailed PRDs including functional requirements, user stories, success metrics, and constraints.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Integrate AI models into production systems in collaboration with engineers, data scientists, and product managers.</li><li>Optimize models for performance, reliability, and scalability.</li><li>Stay up-to-date with the latest AI research, tools, and best practices.</li><li>Document AI workflows, pipelines, and system architectures clearly for team and stakeholder use.</li><li>Participate in cross-functional meetings to ensure alignment of AI development with business objectives.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>2+ years of hands-on experience in machine learning, AI, or related roles.</li><li>Strong programming skills in Python, experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) preferred but not mandatory.</li><li>Strong understanding of data structures, algorithms, and software engineering principles.</li><li>Experience with model deployment, monitoring, and production pipelines.</li><li>Ability to create clear, detailed PRDs and translate business requirements into technical specifications.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent communication skills and ability to collaborate with cross-functional teams.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits:<ul><li>Competitive salary and fringe benefits</li><li>Paid Time Off &amp; Leave Encashment</li><li>EOBI</li><li>Professional Development &amp; Career Advancement</li><li>Team Building Activities &amp; Company Trips</li><li>Innovative Work Environment &amp; Wellness Programs</li><li>Performance-Based Promotions</li></ul>Location: TAMC Building, Gulberg-III, Lahore. Office Hours: 05:00 PM &ndash; 02:00 AM (Monday to Friday)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in creating Product Requirements Documents (PRDs)?</li><li>Have you independently created Product Requirements Documents (PRDs) from start to finish?</li><li>What is your current / last drawn salary?</li><li>What is your expected salary?</li><li>Are you willing to work on site in gulberg III from 05:00PM - 02:00 Am (Monday - Friday)</li><li>What is your notice period with the current employer (in days)?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI / ML: 2 years (Required)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Lahore Gulberg Colony (54660) (Preferred)</li></ul>Work Location: In person

AI Engineer (Machine Learning & PRD Specialist)

White Mastery Systems

<ul><li>Data &amp; Tech: Data Scientist, AI/Machine Learning Specialist, Software Developer, Data Analyst, Python Developer.</li><li>Research &amp; Development: Research Scientist, Biochemist, Junior Research Fellow, Lab Technician, Biotech Researcher, Pharmacovigilance Associate.</li><li>Healthcare: Assistant Dietician, Radiographer, Clinical Research Associate, roles in Pharmacy.</li><li>Education &amp; Academia: University Lecturer, Professor, PGT Teacher (with B.Ed.).</li><li>Engineering: Electrical Engineer, Automation Tester, roles in Water Quality.</li><li>Government &amp; Other Sectors: Roles in ISRO, Ministry of Defense, Finance, Environmental Agencies, and</li></ul>Job Types: Full-time, Permanent, FresherPay: ₹18,086.00 - ₹52,273.64 per monthBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Work Location: In person

M.Sc freshers

Ashwini Kamble

Biitcode is urgently hiring Data Scientist for our reputed Client into Software Development . Plz find details below.Position: Data ScientistLocation: BengaluruContact Person: 8788692727Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>3+ years of experience in data science or applied machine learning (for mid-level roles).</li><li>Strong proficiency in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn).</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Solid understanding of statistics, probability, and hypothesis testing.</li><li>Hands-on experience with data wrangling, feature engineering, and model evaluation.</li><li>Knowledge of SQL and working with relational databases.</li><li>Exposure to time series analysis, natural language processing (NLP), or computer vision is a plus.</li><li>Experience in big data technologies (Spark, Hadoop) is an advantage.</li><li>Strong problem-solving skills and the ability to translate business needs into analytical solutions.</li></ul>Key Responsibilities:<ul><li>&Oslash; Work in the machine learning team as an individual contributor, building, testing and deploying our models.</li><li>&Oslash; Familiar with several ML techniques and have both theoretical ML knowledge and experience implementing different types of solutions.</li><li>&Oslash; Proficient in Python topics, focus on: List, dictionary set, lambda function, decorator function, Generators, memory allocation, Sorting algorithm&hellip;</li><li>&Oslash; Have a good understanding of the ecosystem of tools and libraries supporting ML development (e.g. TensorFlow, PyTorch etc).</li><li>&Oslash; Experience in performing Exploratory data analysis &amp; background in Statistics</li><li>&Oslash; Prior experience working with time series modelling and industrial or IoT data.</li><li>&Oslash; Experience in any of: systems dynamics modelling, model predictive control, Reinforcement Learning, system identification or Bayesian statistics.</li><li>&Oslash; Prior experience working on Industrial AI or manufacturing domains, preferably cement, metals, oil &amp; gas, thermodynamic process or heavy process industries.</li><li>&Oslash; Prior experience in writing unit testcase.</li><li>&Oslash; Contribute to technical innovation, problem solving across the machine learning lifecycle.</li><li>&Oslash; Collaborate with the product team on customer projects, planning, designing and delivering the work packages required, as well as playing a significant role in the development of our wider product.</li><li>&Oslash; Help establish best practices, improving our internal processes.</li><li>&Oslash; Contribute to the design and implementation of robust, maintainable and scalable machine learning systems.</li><li>&Oslash; Working in a fast-paced startup environment, with an agile process.</li></ul>Interested candidate can share their CV on whats app- 8788692727.Thanks and Regards,Poonam P.Human ResourceBiitcodeJob Type: Full-timePay: ₹1,200,000.00 - ₹1,500,000.00 per yearWork Location: In person

Data Scientist

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :
 
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 </li>
 <li>
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 </li>
 <li>
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 </li>
 <li>
 Build conversational AI applications.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 BU: Data Intelligence
 
 
 Senio Level
</div>

Senior Data Scientist

Myntra

<div>
 
 About The Company
 
 
 
 
 Who are we?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit.
 
 
 Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
 
 
 From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 
 About Team
 
 
 
 The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency.
 
 
 We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques&mdash;such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling&mdash;but also contribute to the research community with multiple peer-reviewed publications.
 
 
 Roles and Responsibilities
 
 
 Design, Develop, and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more.
 
 
 Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, and Optimization.
 
 
 Software Development: Develop robust, scalable, and maintainable software solutions for seamless model deployment.
 
 
 CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration.
 
 
 Model Maintenance: Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training.
 
 
 Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems.
 
 
 Data Management: Partner with the Data Platforms team to gather, process, and analyze data crucial for model development.
 
 
 Code Quality: Write clean, efficient, and maintainable code following best practices.
 
 
 Performance Optimization: Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance.
 
 
 Continuous Learning: Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization.
 
 
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Industry Experience: 5+ years with a Bachelor's degree, or 3+ years with a Master&rsquo;s/Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 Machine Learning Expertise: At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role.
 </li>
 <li>
 Production Deployment: Proven experience deploying machine learning solutions into production environments.
 </li>
 <li>
 Programming Skills: Strong proficiency in Python or equivalent programming languages for model development.
 </li>
 <li>
 ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn).
 </li>
 <li>
 CI/CD Tools: Experience with CI/CD tools and practices.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills.
 </li>
 <li>
 Teamwork &amp; Independence: Ability to work collaboratively in a team environment or independently as needed.
 </li>
 <li>
 Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively.
 
 
 </li>
 </ul>
 Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential.
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences.
 </li>
 <li>
 Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks.
 </li>
 <li>
 Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems.
 </li>
 <li>
 Generative AI Exposure: Familiarity with Generative AI models.
 </li>
 <li>
 Database Management: Experience with SQL and/or NoSQL databases.
 </li>
 <li>
 ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 python, machine learning, recommendation system, forecasting, deployment, time series
 
 
 
 Required Education
 
 
 
 B.Tech
</div>

Aga Khan University

<div><div>Research Specialist, Centre of Oncological Research in Surgery (COORS) - (250003YE)</div><div><div> 
</div>Research Specialist, Centre of Oncological Research in Surgery (COORS) 
Entity: The Aga Khan University Medical College
Location: Karachi, Pakistan 
Introduction:
The Aga Khan University, chartered in 1983 as Pakistan&rsquo;s first private international university, is committed to the provision of education, research, and health care of international standards relevant to Pakistan and the region. The affiliated Aga Khan University Hospital has well-equipped investigative services and provides state-of-the-art clinical facilities. 
Centre of Oncological Research in Surgery (COORS) intends to build a culture of innovation and collaboration that will drive research breakthroughs and be capable of changing approaches to cancer prevention, screening, and treatment; in the process, it will improve the lives of cancer survivors. The main core focus areas of COORS are: advancing basic science research in cancer; organizing and conducting epidemiological and population-based research; and initiating clinical trials in surgical oncology and related areas. 
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopting appropriate standards for safeguarding and promoting a respectful relationship with and between the diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults, and expects all employees/trainees and partners to share this commitment. 
COORS is inviting applications for the position of Research Specialist from outstanding and ambitious candidates. 
Responsibilities:
The Research Specialist will contribute to the planning, coordination, and execution of research activities within COORS. The position is responsible for ensuring high-quality research and analysis, application of artificial intelligence and data science, management of research grants and ethics submissions, and collaboration with internal and external stakeholders. The role also emphasizes capacity building through training and mentoring of junior researchers and supporting multi-institutional and international collaborations, Candidate will be responsible to:<ul><li> 
 Conduct and oversee AI-driven analyses of neuroscience data, including brain imaging, neuro-oncology, or genetic data.</li><li> Facilitate collection, processing, and analysis of imaging and clinical data.</li><li> Manage project-related data systems, ensuring accuracy, confidentiality, and compliance.</li><li> Support preparation of ethics submissions, grant applications, and project reporting.</li><li> Collaborate with local and international partners to strengthen research capacity and ensure harmonization of methods.</li><li> Contribute to drafting manuscripts, technical reports, and presentations for dissemination of research outcomes.</li><li> Any other task that is assigned by the PI of the Study.</li><li> Provide support in grant proposal writing and research funding applications.</li><li> Represent the department in scientific forums, conferences, and collaborative meetings.</li><li> Support strategic initiatives aimed at translational research, commercialization, and institutional development.</li></ul></div><div></div><div><div> 
</div>Requirements:
Applicants must have:<ul><li> Master&rsquo;s degree in Computer Science, Artificial Intelligence, or related biomedical engineering.</li><li> At least 2 years of academic or applied research experience in artificial intelligence, neuroscience, or related fields.</li><li> Demonstrated involvement in developing and implementing AI models, algorithms, and data-driven solutions in the context of neuroscience or brain research.</li><li> Experience with managing research workflows, AI model development, and project operations.</li><li> Familiarity with ethics review processes (e.g., ERC, NBC) and compliance frameworks relevant to neuroscience and AI research.</li><li> Contributions to peer-reviewed publications, technical reports, or conference presentations in the AI or neuroscience domains will be considered an asset.</li><li> Strong proficiency in AI and machine learning techniques, particularly in areas like deep learning, neural networks, and computational neuroscience.</li><li> Experience with data management and analysis tools (e.g., Python, R, MATLAB, TensorFlow, PyTorch).</li><li> Expertise in handling large-scale neuroimaging datasets understanding of MRI.</li><li> Strong skills in data management and familiarity with tools for clinical or research data collection.</li><li> Ability to coordinate research projects, manage deadlines, and deliver high-quality outcomes.</li><li> Strong interpersonal and communication skills, with the capacity to work in multidisciplinary teams that include clinicians, molecular biologists, and engineers.</li><li> Ability to work under pressure while maintaining accuracy, ethical standards, and compliance with research protocols.</li></ul>
Comprehensive employment reference checks will be conducted.<div> 
</div></div><div>
Primary Location: Pakistan</div><div>
Organisation: Aga Khan University Pakistan</div><div>
Employee Status: Regular</div><div>
Job Type: Standard</div><div>
Job Posting: 19/12/2025, 3:37:50 AM</div><div>
Closing Date: 31/12/2025, 12:59:00 PM</div></div>

Research Specialist, Centre of Oncological Research in Surgery (COORS)

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 Why this role matters at Careem
 
 
 
 Careem exists to simplify and improve the lives of people in our region. AI is a key driver of that mission. Whether it&rsquo;s predicting demand, optimizing captain incentives, improving delivery ETA accuracy, or automating customer care, you&rsquo;ll be helping to build real systems that impact millions of people across the Middle East, North Africa, and Pakistan.
 
 
 This is a hands-on role where you&rsquo;ll ship models into production, experiment fast, and learn alongside a talented team that&rsquo;s driving meaningful change.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build, train, and evaluate machine learning models for key services like ride-hailing, food delivery, and payments
 </li>
 <li>
 Work with real-world data and translate it into features, signals, and insights
 </li>
 <li>
 Collaborate with operations, engineers, product managers, and analysts to tackle challenges like OCR based partner onboarding, dynamic pricing, route optimization, churn prediction, and fraud detection
 </li>
 <li>
 Run experiments, track model performance, and help roll out models into live systems
 </li>
 <li>
 Improve the way we serve and monitor machine learning models
 </li>
 <li>
 Contribute to a strong team culture of learning, iteration, and accountability
 
 
 </li>
 </ul>
 
 Must-haves
 
 
 
 
 What you&rsquo;ll need
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Statistics, or a related technical field
 </li>
 <li>
 Up to 3 years experience working with machine learning in any form: internships, research, personal projects, Kaggle competitions, or a previous job
 </li>
 <li>
 Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn
 </li>
 <li>
 A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics
 </li>
 <li>
 Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost
 </li>
 <li>
 Clear communication, curiosity, and the ability to work well in a team
 
 
 </li>
 </ul>
 
 Nice-to-haves
 
 
 
 <ul>
 <li>
 Exposure to deep learning techniques in NLP, vision, or recommender systems
 </li>
 <li>
 Experience working with large datasets using Spark, Hive, or cloud tools
 </li>
 <li>
 Familiarity with model deployment and monitoring workflows (Airflow, MLflow, etc.)
 </li>
 <li>
 Interest in solving real operational challenges like logistics, fraud detection, or customer retention
 </li>
 <li>
 A GitHub profile or project portfolio that shows what you&rsquo;ve built
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Get
 
 
 
 <ul>
 <li>
 A chance to work on AI problems at regional scale that improve lives and drive real business outcomes
 </li>
 <li>
 A smart, motivated team that values learning and practical impact
 </li>
 <li>
 Flexibility to work remotely, with strong support for collaboration and ownership
 </li>
 <li>
 A front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets
 </li>
 </ul>
</div>

Analytics & Automation Manager

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