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Infosys

<div>
 Technical skills
 
 
 <ul>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms
 </li>
 <li>
 Deep Neural Network architectures
 </li>
 <li>
 Model ensembling
 </li>
 <li>
 Generative AI models
 </li>
 <li>
 ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 <li>
 Past experience playing a Data Scientist role Technical skills
 </li>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms
 </li>
 <li>
 Deep Neural Network architectures
 </li>
 <li>
 Model ensembling
 </li>
 <li>
 Generative AI models
 </li>
 <li>
 ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 <li>
 Past experience playing a Data Scientist role
 </li>
 </ul>
</div>

Associate Data Scientist

Virtusa

<div>
 Seeking an experienced Data Scientist with a strong background in data analytics, coding, and complex SQL development. The ideal candidate will have hands-on experience working with large and diverse datasets, building analytics solutions, and delivering insights under tight timelines. This role requires strong technical foundations, data wrangling expertise, and the ability to work with both structured and unstructured data. You will collaborate with crossfunctional teams to design, develop, and automate data-driven solutions that support critical business decisions.
 
 
 Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations
 
 
 Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently
 
 
 Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools
 
 
 Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively
 
 
 Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy
 
 
 Collaborate with business stakeholders to translate analytical findings into actionable strategies
 
 
 Document data processes, methodologies, and models to support transparency and reusability
 
 
 Support continuous improvement of data workflows, analytics tools, and best practices.
</div>

Senior Data Owner

Cognizant

<div>
 The Senior Associate will execute big data analytics, visualization and automation for audits, key risk indicators (KRI) projects and process improvements.
 
 
 
 Responsibilities
 
 
 
 The Senior Associate supports the Data Analytics team by proposing relevant analytics procedures and tools, executing the analytics, developing dashboards and building AI tools for audits, key risk indicators and automation initiatives.
 
 
 
 The Responsibilities Include &ndash;
 
 
 
 <ul>
 <li>
 Understanding audit or project objectives and assist in preparing the analytics execution plan and timelines.
 </li>
 <li>
 Working with Corporate Functions/Business Units/IA teams for gathering requirements for KRI projects.
 </li>
 <li>
 Working with IA audit teams to understand the analytics requirements for audit engagements.
 </li>
 <li>
 To determine appropriate analytics tool or platform, design the visuals and independently build pilot or prototype to meet project objectives.
 </li>
 <li>
 Build AI and Gen AI tools to achieve process efficiencies.
 </li>
 <li>
 Establishing and maintaining relationships with all key stakeholders of Internal Audit.
 </li>
 <li>
 Taking an active role in developing and driving Internal Audit Data Analytics quality, coaching audit team members on analytics tools and knowledge sharing to enhance the value provided to Internal Audit stakeholders.
 </li>
 <li>
 Ensuring timely and accurate time tracking.
 </li>
 <li>
 Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in Computer Science, Data Analytics, Statistics, Engineering or Business Management.
 </li>
 <li>
 At least 3 years of experience in data analytics, visualization and automation.
 </li>
 <li>
 Proficient in data management tools for example, Access/Excel, VBA, ACL, IDEA, SQL, SPSS, R, Python etc.
 </li>
 <li>
 Expertise in visualization tools like Qlik View, Power BI, Tableau etc.
 </li>
 <li>
 Experience in Machine Learning and AI/Gen AI tools is preferred.
 </li>
 <li>
 Basic understanding of financial processes (Accounts payable, Payroll, Travel and Expenses etc.) is desirable.
 </li>
 <li>
 Team person, keen learner, motivated.
 </li>
 <li>
 Excellent verbal and written communication.
 </li>
 <li>
 Highest professional standards, integrity and ethical behavior.
 </li>
 </ul>
</div>

Senior Associate - Data Analytics

GIVA

<div>
 
 Dear Applicants,
 
 
 
 
 
 We are seeking Performance Marketing Associate at our Head Office -Bangalore Locaition.
 
 
 Interested candidates can go through below job description and apply.
 
 
 
 
 
 
 
 Job Title - Performance Marketing Associate
 
 
 
 
 
 Key responsibilities:
 
 
 <ul>
 <li>
 Plan &amp; execute performance marketing campaigns across various channels - Google Ads, Facebook Ads, 3rd party networks, etc.
 </li>
 <li>
 Take ownership of online campaigns and revenue.
 </li>
 <li>
 Understanding of the ecosystem - Attribution, Tracking, and tuning various End-to-EndFunnel Metrics &amp; Real-Time ROI measurements right from Traffic Metrics to conversion funnels.
 </li>
 <li>
 Running experiments on paid digital channels to find incremental value of digital marketing across user and customer cohorts.
 </li>
 <li>
 Designing experiments to improve the overall contribution of digital marketing towards business in a profitable manner.
 </li>
 <li>
 Coordinate with the internal product, tech teams for timely execution of various digital marketing tasks and initiatives.
 </li>
 <li>
 Monitor and keep track of essential funnels and events in Marketing setup.
 </li>
 <li>
 Responsible for campaign management - planning, monitoring, optimization &amp; reporting.
 </li>
 </ul>
 
 
 
 
 
 Who will Qualify
 
 
 <ul>
 <li>
 2+ years of relevant experience especially in Meta Ads. Experience with e-commerce businesses will be an advantage.
 </li>
 <li>
 Highly data-oriented approach towards planning and problem-solving.
 </li>
 <li>
 Self-motivated and willing to work in a startup environment
 </li>
 <li>
 Strong analytical skills and the ability to analyze data
 </li>
 <li>
 Knowledge of Marketing analytics, Attribution, and Planning tools (e.g. Google Analytics, Appsflyer etc.)
 </li>
 <li>
 Hands-on experience with performance marketing channels Google ads, Facebook Ads, etc. in managing the marketing budget at scale along with the business objectives &amp; KPIs like ROAS, CPI, CAC, LTV, etc.
 </li>
 <li>
 Proven track record of increasing user acquisition, engagement, and retention and meeting/exceeding revenue and profitability goals.
 </li>
 </ul>
 
 
</div>

Performance Marketing Associate

<div>
 
 
 Job Description
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 2+ years experience as supervisor/acting supervisor in a call center environment
 </li>
 <li>
 Strong leadership and team management skills
 </li>
 <li>
 Exceptional verbal and written communication abilities
 </li>
 <li>
 Ability to analyze data and make informed decisions
 </li>
 <li>
 Knowledge of call center operations and metrics
 </li>
 <li>
 Proficiency in call center management software and Microsoft Office
 </li>
 </ul>
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 Manage team performance
 </li>
 <li>
 Provide effective coaching and constructive feedback to subordinates
 </li>
 <li>
 Take customer service and escalation when needed
 </li>
 <li>
 Holds team huddle/coaching session/goal-setting/one-on-one as needed/required
 </li>
 <li>
 Handles escalated requests and researches answers posted by associates to ensure customer satisfaction
 </li>
 <li>
 Reviews and analyzes performance data, creates action plans, and monitors execution to ensure goals are met
 </li>
 <li>
 Holds regular check-in meetings with the client to keep them informed of the trends, changes, and development within the team
 </li>
 <li>
 Facilitates learning sessions to enhance associate technical and communication skills
 </li>
 </ul>
 
 Performs administrative tasks such as sending daily capacity reports, daily/weekly performance dashboards, and other ad hoc tasks
 
 
 
</div>

Lead Associate

HackerRank

<div>
 HackerRank helps thousands of companies like OpenAI, NVIDIA, Mercedes and Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers.
 
 
 The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it&rsquo;s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you&rsquo;d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.
 
 
 
 About The Role
 
 
 
 We are seeking a Staff AI Scientist with deep expertise in machine learning fundamentals and a proven track record of building and evaluating advanced AI systems. This role is for someone who thrives at the intersection of data science, statistics, and ML engineering, with an emphasis on dataset rigor, metric design, and evaluation methodology.
 
 
 At the staff level, you will set the direction for how we evaluate AI systems, work across teams to ensure scientific rigor is balanced with product and engineering needs, and deliver both datasets and pipelines that stand up to scrutiny.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Dataset Preparation &amp; Evaluation
 </li>
 <ul>
 <li>
 Design, prepare, and curate high-quality evaluation datasets with defensible methodology.
 </li>
 <li>
 Define criteria for dataset construction, ensuring statistical rigor, reproducibility, and fairness.
 </li>
 <li>
 Develop new metrics and evaluation frameworks to measure model performance in nuanced ways.
 </li>
 </ul>
 <li>
 Model Evaluation &amp; ML Engineering
 </li>
 <ul>
 <li>
 Evaluate LLMs and other pre-trained models using carefully chosen datasets and metrics.
 </li>
 <li>
 Build scalable pipelines for training, fine-tuning, and benchmarking models.
 </li>
 <li>
 Contribute to projects involving fine-tuning, retrieval-augmented generation (RAG), and other adaptation methods.
 </li>
 </ul>
 <li>
 Cross-Functional Leadership
 </li>
 <ul>
 <li>
 Partner with product and engineering to align scientific rigor with business outcomes.
 </li>
 <li>
 Define evaluation standards and ML lifecycle practices that raise the bar across the company.
 </li>
 <li>
 Mentor scientists and engineers, guiding best practices in experimentation, statistics, and ML development.
 
 </li>
 </ul>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative field.
 </li>
 <li>
 Strong background in mathematical and statistical foundations of machine learning (probability, linear algebra, optimization, experimental design).
 </li>
 <li>
 Demonstrated experience in end-to-end ML lifecycle: dataset preparation, model training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Proven expertise in evaluation dataset design and metric creation, not just using existing benchmarks but knowing when and how to improve them.
 </li>
 <li>
 Experience with LLM evaluation, fine-tuning, and RAG, with the engineering skills to build production-ready pipelines.
 </li>
 <li>
 Track record of strategic impact at a staff or principal level setting evaluation and research standards across teams.
 
 
 </li>
 </ul>
 
 Even better if you have
 
 
 
 <ul>
 <li>
 Publications, open-source contributions, or widely adopted benchmarks in ML/AI.
 </li>
 <li>
 Prior experience shaping AI evaluation frameworks at an organizational or industry level.
 </li>
 <li>
 Comfort working at the interface of science, engineering, and product.
 
 
 </li>
 </ul>
 
 You will thrive in role if
 
 
 
 <ul>
 <li>
 You define gold-standard evaluation datasets and metrics that internal teams adopt as a standard.
 </li>
 <li>
 You ship datasets and pipelines that are statistically rigorous, reproducible, and scalable.
 </li>
 <li>
 You elevate the organization&rsquo;s ML practice by embedding sound statistical and scientific methodology into product and engineering work.
 </li>
 <li>
 You are recognized as a thought leader who sets strategy while still contributing technically at depth.
 
 
 </li>
 </ul>
 
 Want to learn more about HackerRank?
 
 Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
 
 
 HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
 
 
 Linkedin | X | Blog | Instagram | Life@HackerRank
 
 
 
 Notice To Prospective HackerRank Job Applicants
 
 
 
 <ul>
 <li>
 Our Recruiters use @hackerrank.com email addresses.
 </li>
 <li>
 We never ask for payment or credit check information to apply, interview, or work here.
 </li>
 </ul>
</div>

Staff AI Scientist

Dezy (Smiles.ai) - Dental, made easy.

<div>
 
 Hiring for Associate Dentists for Dezy Dental Clinics.
 
 
 
 
 We are looking for a skilled and patient-focused Associate Dentist to join our dental team and contribute to delivering high-quality clinical care. The ideal candidate will support treatment planning, perform a wide range of dental procedures, and maintain strong communication with patients and the dental staff. This role requires a commitment to clinical excellence, attention to detail, and a professional approach to patient management. As an Associate Dentist, you will play a key role in enhancing the patient experience and supporting the clinic&rsquo;s growth and service standards.
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor of Dental Surgery (BDS) from a recognized institution.
 </li>
 <li>
 Valid dental license to practice in India.
 </li>
 <li>
 Fresher/ 1-3 years of experience in a clinical setting.
 </li>
 <li>
 Strong communication and interpersonal skills.
 
 
 </li>
 </ul>
 
 Specialties: Invisible Smile Aligners, Dental Implants, Smile Makeovers, Root Canal, Teeth Whitening, Dental Veneers, Digital Consultation, and At Home Services
 
 
 
 
 About Dezy
 
 
 
 
 Dezy is India&rsquo;s fastest growing
 
 dental-care technology company
 
 , on a mission to transform how dental care is accessed and experienced.
 
 Founded in 2019, by IIM graduates and senior dentists, Dezy is currently operating 25+ clinics across India
 
 , with the vision to
 
 expand to 100+ clinics by next year end
 
 . We`re backed by top Venture Capital funds like Chiratae, Alpha Wave and Peak XV, and Dezy has also been
 
 
 recognised by the World Economic Forum as one of the &ldquo;Top 100 Technology Pioneers in the World&rdquo; for revolutionizing dental care
 
 
 .
 
 
 
 
 
 We blend clinical excellence, digital innovation, and community impact to build not just clinics, but an ecosystem for the future of oral health.
 
 
 
 
 
 Why Join Dezy?
 
 
 
 
 Skills
 
 
 
 
 Dezy will not be like any other job in dentistry. This role will provide you a platform to build and grow your skills across clinic management, tech-led clinical diagnosis and corporate leadership. We are different from other corporate clinic chains because:
 
 
 
 <ul>
 <li>
 Tech-Enabled Care, Human-Driven: Dezy is a digital-first dental network. Our platform uses AI-powered diagnostics, teledentistry, and data-driven protocols to ensure consistently high-quality, patient-centric care across our clinics.
 </li>
 <li>
 Clinician-Entrepreneur Ecosystem: Our Chief General Dentists drive both clinical transformation and business growth, with meaningful ownership, performance-based incentives, and leadership roles in Dezy&rsquo;s expansion.
 </li>
 <li>
 Patient-First, Outcome-Focused: We believe in preventive dentistry, early intervention, and evidence-based care.
 </li>
 <li>
 Learning, Growth &amp; Impact: Dezy is a place for dentists who dream big. Whether you're passionate about advanced clinical techniques or digital workflows you&rsquo;ll find opportunities to learn, lead, and influence. We invest in continuous upskilling, mentorship, and career paths &mdash; from senior clinician to clinical leader to innovator.
 
 
 </li>
 </ul>
 
 Hear directly from our Star CGDs!
 
 
 
 
 Dr Rishika
 
 
 
 
 MDS, Pediatric &amp; Preventive Dentistry
 
 
 
 
 Part of the Dezy family for the last 3+ years
 
 
 
 
 &ldquo;I joined as the CGD for Dezy`s Hebbal clinic, where besides the varied clinical experience I received, I was also able to grow our revenue 5X over the span of two years. I got promoted to Zonal Head and now manage 15 clinics under me, giving me a chance to replicate clinic-level success across the city. &rdquo;
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Patient Journey &amp; Clinical Care
 </li>
 <li>
 Conduct comprehensive dental examinations, diagnose oral health conditions, and create treatment plans in coordination with senior dentists.
 </li>
 <li>
 Take charge of medical management of cases being held on pause due to medical reasons (like diabetes, thyroid,etc) and working closely with the patient and senior consultant to ensure all treatment plans are executed accurately and on time.
 </li>
 <li>
 Perform routine dental procedures including intraoral scans, cleanings, fillings, temporary restorations, and other chairside treatments.
 </li>
 <li>
 Provide clear post-treatment instructions and oral hygiene guidance to ensure patient comfort and long-term dental wellness.
 </li>
 <li>
 Documentation &amp; Clinical Systems
 </li>
 <li>
 Maintain accurate and detailed patient records, including treatment plans, progress notes, scan reports, and medical histories.
 </li>
 <li>
 Ensure all clinical documentation is updated in the relevant systems/CRMs promptly and error-free.
 </li>
 <li>
 Support seamless data flow by tracking treatment progress and updating case details as patients move through their care pathway.
 </li>
 <li>
 Team Collaboration &amp; Support
 </li>
 <li>
 Work closely with the Chief General Dentist, dental assistants, and administrative teams to deliver consistent and high-quality patient care.
 </li>
 <li>
 Coordinate smoothly with cross-functional teams to ensure treatment timelines, patient requirements, and clinic workflows are aligned.
 </li>
 <li>
 Contribute to maintaining a positive clinical environment through effective communication and teamwork.
 </li>
 <li>
 Clinical Operations &amp; Patient Coordination
 </li>
 <li>
 Ensure readiness of dental equipment, materials, and instruments before procedures.
 </li>
 <li>
 Maintain adherence to infection control and safety protocols across all treatment areas.
 </li>
 <li>
 Track patient follow-ups, scheduled scans, and appointments to ensure timely care delivery.
 </li>
 <li>
 Provide assistance in managing daily patient flow to optimize clinic operations.
 </li>
 <li>
 Relationship Management &amp; Outreach
 </li>
 <li>
 Build and strengthen relationships with clinic partners, senior dentists, and external stakeholders within the region.
 </li>
 <li>
 Support outreach activities such as outbound coordination with partner dental chains and participation in trade fairs to enhance clinical visibility.
 </li>
 <li>
 Engage with patients proactively to encourage treatment acceptance and reinforce trust throughout the care journey.
 </li>
 <li>
 Learning &amp; Professional Development
 </li>
 <li>
 Stay updated on modern dental practices, including aligners, implants, and digital dentistry trends.
 </li>
 <li>
 Actively participate in training sessions, workshops, and clinical development programs to enhance clinical proficiency.
 </li>
 <li>
 Apply new learnings to elevate the standard of care and contribute to the clinic&rsquo;s growth.
 </li>
 </ul>
</div>

Associate Dentist_Dezy Corporate_Bengaluru

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