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<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA -Gen AI - Senior

Pôirō

<div>
 
 
 Poiro (poiro.com) builds marketing AI systems and agents to bring brands closer to their customers.
 
 
 
 
 
 
 
 Poiro&rsquo;s AI systems can be trained on both structured and unstructured marketing data for a brand - from social media content and e-commerce marketplace data to 1st-party customer data - to build a comprehensive knowledge representation of a brand and its category. On top of that, Poiro&rsquo;s AI agents seamlessly perform data analytics &amp; data science workflows to generate actionable insights and guide marketing execution.
 
 
 
 
 
 
 
 Poiro&rsquo;s flagship product - Poiroscope - is one of the most advanced content creation suites for brands.
 
 
 Poiroscope enables brands to convert social research and insights into creative assets, without any prompting. Armed with proprietary models and computer vision workflows, Poiroscope is the only AI that generates consistently on-brand content with 100% accurate product capture.
 
 
 
 
 
 
 
 Leading brands are using Poiroscope to identify content whitespaces and generate highly engaging creatives across e-commerce, organic social and ads, at scale.
 
 
 
 
 
 
 
 Poiro is a subsidiary of Evam Labs (
 
 
 www.evamlabs.ai
 
 
 ) - a Singapore headquartered holding company with offices in Bangalore and San Jose, building the next generation of high impact AI powered Enterprise Solutions.
 
 
 From Asia, for the World. Evam Labs was founded by ex-founders, academics and investors with over a decade of experience in building data &amp; AI products and scaling companies from 0 to IPO. The founders are IIT/IIM/CMU alumni and have cumulatively raised over $500M+, invested in 30+ startups and hold 20+ patents. The rest of the Evam team comprises alumni of IITs, IIMs, CMU, IISc, NUS with rich experience across multiple industries.
 
 
 
 
 
 
 
 Role Overview -
 
 
 
 
 We are looking for a Data Scientist / Research Associate (Generative Marketing AI) to join us and make critical contributions to our product and solution development efforts. You&rsquo;ll turn messy social signals into shippable content, competitive advantage, and growth. Zero fluff: prototype fast, ship often, measure impact.
 
 
 This is a full-time onsite role from our office located in HSR Layout, Bengaluru.
 
 
 
 
 
 
 
 Key Responsibilities -
 
 
 <ul>
 <li>
 
 Own the loop end-to-end:
 
 
 ideate &rarr; prototype &rarr; test &rarr; ship models/agents that power content generation, competitive analysis, and trend recommendations.
 
 </li>
 <li>
 
 Build real data pipelines:
 
 
 ingest at scale from Instagram/TikTok/YouTube/X, web crawls, e-comm reviews, Google Trends; normalize with brand/product taxonomies; keep it reliable and cheap.
 
 </li>
 <li>
 
 Model the marketing stack:
 
 </li>
 <li>
 
 LLM + RAG for brief understanding, prompt planning, and insight summarization (brand docs, past campaigns, product specs).
 
 </li>
 <li>
 
 VLMs/diffusion for creative scoring, brand-true checks (label integrity, color, composition), and content selection.
 
 </li>
 <li>
 
 Recommenders for &ldquo;creator &times; concept &times; timing&rdquo; and trend fit.
 
 </li>
 <li>
 
 Agentic workflows:
 
 
 stitch tools into agents that do the grunt work&mdash;brief-to-prompt, competitive watch, trend scout, concept A/B, asset QA, posting prep.
 
 </li>
 <li>
 
 Experimental rigor:
 
 
 design offline metrics (recall@k, CLIP/aesthetic scores, accuracy on brand rules) and online tests (CTR, watch time, save/share rate, time-to-first-draft).
 
 </li>
 <li>
 
 Productionize:
 
 
 serve models behind clean APIs, containerize, add tracing/monitoring, and set guardrails for cost/latency/reliability.
 
 </li>
 <li>
 
 Evaluate open source:
 
 
 pick winners (models, vector DBs, schedulers) based on evidence; propose migrations or patches when they don&rsquo;t meet a bar.
 
 </li>
 </ul>
 
 
 
 
 
 About You -
 
 
 <ul>
 <li>
 
 Background:
 
 
 B.Tech in Computer Science (or equivalent).
 
 
 1&ndash;2+ years hands-on
 
 
 in data/ML where things actually shipped.
 
 </li>
 <li>
 
 Python first:
 
 
 strong with Pandas/Polars, PySpark; scikit-learn for quick baselines; you write clean, testable code.
 
 </li>
 <li>
 
 Deep learning:
 
 
 PyTorch fluent (TensorFlow a plus). Comfortable fine-tuning, LoRA, and evaluation.
 
 </li>
 <li>
 
 LLM/RAG:
 
 
 practical prompt engineering, tool-use/function-calling; you&rsquo;ve built retrieval over docs with pgvector/Qdrant/Weaviate/Milvus and can defend your chunking/index choices.
 
 </li>
 <li>
 
 Vision &amp; gen-AI:
 
 
 experience with open-source VLMs (e.g., LLaVA, Qwen-VL, InternVL) and diffusion (SD/SDXL, ControlNet). Bonus: aesthetic/brand-safety classifiers, CLIP-based scoring.
 
 </li>
 <li>
 
 Data at scale:
 
 
 Spark/Ray, Kafka/streams; solid SQL (Postgres/BigQuery). You know when to batch vs. stream.
 
 </li>
 <li>
 
 Serving/infra:
 
 
 FastAPI, Docker, CI/CD; ideally Triton/TorchServe. Cloud literacy - Azure/AWS/GCP
 
 </li>
 <li>
 
 ML ops:
 
 
 MLflow or Weights &amp; Biases; reproducible experiments; sensible eval dashboards.
 
 </li>
 <li>
 
 Marketing domain curiosity:
 
 
 creator economy, social platform quirks, what makes content &ldquo;hit.&rdquo; You like pairing models with real outcomes.
 
 </li>
 <li>
 
 Mindset:
 
 
 resourceful, opinionated, allergic to hand-waving. You ship weekly, measure, and cut what doesn&rsquo;t move the needle.
 
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 
 Competitive salary and benefits
 
 </li>
 <li>
 
 Be in an early stage company - grow with the company and shape our trajectory, in turn creating inorganic growth opportunities for yourself
 
 </li>
 <li>
 
 Be in the right field at the right time - opportunity to grow and advance your career in the burgeoning field of AI
 
 </li>
 <li>
 
 Be part of a fast-paced, ambitious research lab that is pushing the boundaries of AI, beginning with the marketing industry
 
 </li>
 </ul>
</div>

Data Scientist / Research Associate - Generative Marketing AI

Genpact

<div>
 
 Inviting applications for the role of
 
 Data Scientist
 
 
 
 
 
 
 The role involves Designing and Implementing complex machine learning and Artificial Intelligence model. Solving business problems using Analytical and Big data tool. The role will require the candidate to work independently with research business and Vendors on analyzing and defining problem statements, and work closely with development team on designing and implementing the solutions and managing the delivery of various products.
 
 
 
 
 <ul>
 <li>
 Work Location: Mumbai &amp; Bangalore
 </li>
 </ul>
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Designing and implementing complex machine learning and Artificial Intelligence model
 </li>
 <li>
 Work closely with development team on designing and implementing the solutions and managing the delivery of various products
 </li>
 <li>
 Participate in training sessions.
 </li>
 <li>
 Stay informed about the developments in AI and LLMs.
 </li>
 </ul>
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 
 Minimum Qualifications / Skills
 
 
 
 
 <ul>
 <li>
 5+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 </ul>
 
 
 
 <ol>
 <li>
 Supervised and Unsupervised learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, RAG and fine-tuning experience with OpenAI models and Open Source LLMs
 </li>
 <li>
 Natural language Processing (Sentiment Analysis, Embedding, Summarization, Chatbot etc.) Entity identification / extraction and Knowledge discovery from structured and unstructured content
 </li>
 </ol>
 <ul>
 <li>
 Expert in python, R, Spark, Tensor, Flow, Snowflake, Databricks and Other machine learning / LLM tools
 </li>
 <li>
 Familiar with NoSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environment
 </li>
 <li>
 PhD or master&rsquo;s degree in mathematics, Statistics, Data Science, Computer Science or Other related fields
 </li>
 </ul>
 
 
</div>

Data Scientist

Alexion Pharmaceuticals, Inc.

<div>
 Job Title: Data Scientist
 
 
 Grade : C3
 
 
 Shift: 2 pm to 11 pm IST
 
 
 Role: Individual contributor role.
 
 
 Location: Manyata Tech Park, Bangalore.
 
 
 
 Introduction To Role
 
 
 
 Are you ready to dive into the world of commercial analytics and make a real impact? As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design, develop, and deploy advanced AI and machine learning models, leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Collaborate with the Commercial Data Science team to identify and leverage internal and external data for business solutions.
 </li>
 <li>
 Support the design, development, and deployment of AI and machine learning models tailored to business needs.
 </li>
 <li>
 Assist with large-scale projects using both online/offline, structured/unstructured, and set-top box data to build customer-centric models and optimization tools.
 </li>
 <li>
 Maintain and update scalable analytical models for recurring analyses and future use cases.
 </li>
 <li>
 Conduct analytics using HCP and de-identified patient-level healthcare data to generate disease insights and support lead generation.
 </li>
 <li>
 Develop machine learning models to analyze influences and interactions throughout the patient healthcare journey.
 </li>
 <li>
 Optimize existing and create new ML tools and models to improve patient finding and HCP identification processes.
 </li>
 <li>
 Apply predictive modeling to enhance customer experience, targeting, and other business outcomes.
 </li>
 <li>
 Collaborate with Commercial teams and the AI community to develop best practices and cross-functional, value-driving opportunities.
 </li>
 <li>
 Support ad hoc analyses and production operations as needed.
 
 
 </li>
 </ul>
 
 Essential Skills/Experience
 
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling.
 </li>
 <li>
 At least 4 years&rsquo; experience in statistical and predictive modeling, ideally within consulting or fintech or related industries.
 </li>
 <li>
 Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences.
 </li>
 <li>
 Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods.
 </li>
 <li>
 Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks).
 </li>
 <li>
 Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data).
 </li>
 <li>
 Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases.
 </li>
 <li>
 Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.
 
 
 </li>
 </ul>
 
 Desirable Skills/Experience
 
 
 
 <ul>
 <li>
 Ability to analyze and visualize data using modern data visualization techniques.
 </li>
 <li>
 Skilled in data manipulation, cleansing, and interpretation.
 </li>
 <li>
 Domain experience in healthcare, or biopharmaceutical industries.
 
 
 </li>
 </ul>
 When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 
 
 At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each other's successes and take pride in giving back to our communities. Here, your career is more than just a path; it's a journey to making a difference where it truly counts.
 
 
 Ready to make a difference? Apply now to join our team!
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 Date Posted
 
 
 
 07-Oct-2025
 
 
 
 Closing Date
 
 
 
 25-Oct-2025
 
 
 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.
</div>

Version 1

<div>
 
 Company Description
 
 
 
 Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We&rsquo;re also an award-winning employer reflecting how employees are at the heart of Version 1.
 
 
 We&rsquo;ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
 
 
 As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We&rsquo;re focused on our core values; using these we&rsquo;ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
 
 
 
 Job Description
 
 
 
 This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer&rsquo;s business.
 
 
 You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines.
 
 
 The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding.
 
 
 The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We&rsquo;re looking for a data scientist that is inherently curious, driven, willing to learn &amp; develop, with an owning the problem and self-starter attitude.
 
 
 
 Qualifications
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Excellent communication skills, including written and oral English language skills
 </li>
 <li>
 Minimum 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Graduate degree in Data Science, Statistics, or another quantitative field.
 </li>
 <li>
 Solid understanding of Spark
 </li>
 <li>
 Strong foundation in statistics
 </li>
 <li>
 Solid understanding of metrics and their usage.
 </li>
 <li>
 Expert programming skills in Python and SQL and with relevant Data Science &amp; ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
 </li>
 <li>
 Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning &amp; LLMs (Gen AI).
 </li>
 <li>
 Experience with working with either Azure/AWS Cloud Environments.
 </li>
 <li>
 Python conventions, writing clean code and testing functionality
 </li>
 <li>
 Ability to work to own initiative and without heavy oversight
 </li>
 <li>
 Must show evidence of your passion for technology and continuous learning
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Familiarity with Huggingface
 </li>
 <li>
 Familiarity with Databricks
 </li>
 <li>
 Familiarity finetuning LLM.
 </li>
 <li>
 Experience working with Azure OpenAI, AWS Bedrock.
 </li>
 <li>
 Experience working with offshore team Consultancy experience
 
 
 </li>
 </ul>
 If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we&rsquo;d love to speak with you!
 
 
 
 Additional Information
 
 
 
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
 
 
 One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
 
 
 We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
 
 
 Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
</div>

Metyis

<div>
 
 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 &amp; Data, Digital Commerce, Marketing &amp; 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
 
 
 
 <ul>
 <li>
 Interact with C-level at our clients on regular basis to drive their business towards impactful change
 </li>
 <li>
 Lead your team in creating new business solutions
 </li>
 <li>
 Seize opportunities at the client and at Metyis in our entrepreneurial environment
 </li>
 <li>
 Become part of a fast growing international and diverse team
 
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Execute data science projects from start to end.
 </li>
 <li>
 Understand client business problems, define analytical approaches, and develop actionable solutions.
 </li>
 <li>
 Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions.
 </li>
 <li>
 Preprocess and analyze structured and unstructured data using statistical approach.
 </li>
 <li>
 Build and deploy predictive models, forecasting solutions, recommendation systems.
 </li>
 <li>
 Collaborate with engineering, product, and business teams to translate insights into outcomes.
 </li>
 <li>
 Communicate results clearly through presentations and storytelling.
 
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Graduate degree or higher with courses in programming, econometrics / data science
 </li>
 <li>
 Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions.
 </li>
 <li>
 Well-developed Logical Reasoning, Critical Thinking &amp; Problem-Solving abilities.
 </li>
 <li>
 Excellent presentations skills and storytelling capabilities.
 </li>
 <li>
 Self-driven with a collaborative attitude and a passion for delivering business value through data.
 </li>
 <li>
 Strong hands-on experience in Python/R and SQL.
 </li>
 <li>
 Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Experience with data visualization tools in python like &ndash; Seaborn, Plotly. Good understanding of Git concepts.
 </li>
 <li>
 Good experience with data manipulation tools in python like &ndash; Pandas, Numpy.
 </li>
 <li>
 Must have worked with scikit learn, NLTK, Spacy, transformers.
 </li>
 <li>
 Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
 </li>
 <li>
 Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
 </li>
 <li>
 Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like &ndash; Mlflow, model deployment, API integration, and CI/CD pipelines.
 
 
 
 </li>
 </ul>
 Good to have:
 
 
 <ul>
 <li>
 Generative AI Experience with text and Image data.
 </li>
 <li>
 Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
 </li>
 <li>
 Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
 
 
 
 </li>
 </ul>
 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.
</div>

Data Science Associate

Landmark Group

<div>
 
 About the Role- We are looking for a highly skilled
 
 Tooling and AI Automation Engineer with 5+ years
 
 of relevant experience to join our Automation team&mdash;not in a traditional application testing but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks.
 
 
 
 
 
 
 Required Skills:
 
 
 
 &bull; Proficiency in
 
 Java
 
 / Python.
 
 
 &bull; Experience in building REST APIs or microservices for internal use and building new testing frameworks from scratch.
 
 
 &bull; Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress,
 
 Selenium
 
 ).
 
 
 &bull; Solid Hands on experience in API Testing using
 
 Rest Assured
 
 , Mobile Automation using
 
 Appium
 
 and basics of
 
 Performance testing.
 
 
 
 &bull; Working knowledge or experience with Mabl, TestRigor, or any
 
 AI automation tool
 
 .
 
 
 &bull; Experience with GenAI or LLM integration for test case generation or failure analysis.
 
 
 &bull; Experience integrating tools with
 
 CI/CD
 
 pipelines (Jenkins, GitHub Actions, GitLab CI).
 
 
 &bull; Familiarity with databases (SQL, NoSQL) and working with test data at scale.
 
 
 &bull;
 
 Good in Debugging, Test Case planning, problem solving and logical thinking.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms.
 
 
 &bull; Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization.
 
 
 &bull; Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics.
 
 
 &bull; Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts.
 
 
 &bull; Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.).
 
 
 &bull; Work closely with SREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted.
 
 
 &bull; Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability.
 
 
 &bull; Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices
 
 
 
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Senior Quality Assurance Automation Engineer

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