2595 Data Science Jobs - Page 12

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide, Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves, The Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures, This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States, Responsibilities. Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage), Utilize GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security, Collaborate closely with data analytics and data science teams to understand data needs, ensuring data is properly prepared for consumption by various systems (e-g. DOMO, Looker, Databricks). Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards, Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability, Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development, Requirements. Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field (e-g. Mathematics, Statistics, Engineering), 4+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e-g. Professional Cloud Developer, Professional Cloud Database Engineer), Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows, Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion, Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer, View our privacy policy, including our privacy notice to California residents here: https://www,five9,/pt-pt/legal, Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9, Show more Show less

About Us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary:. We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 8 years of experience in product management or related technical role.. Preferred qualifications:. Experience working in an Agile development environment, along with understanding of Machine Learning (ML) concepts, data science methodologies, and ML Operations principles.. Experience in HR technology, Human Capital Management (HCM), or a related domain.. Experience with cloud platforms and data analytics tools along with ability to work with datasets and derive insights.. Excellent communication and presentation skills along with the ability to influence cross-functional teams.. Excellent leadership, coaching, and team-building skills.. About The Job. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.. Responsibilities. Define and advocate a product direction and roadmap. Conduct market and user research to uncover opportunities for AI innovation. Guide a team of Product Managers, supporting their growth and establishing standard procedures in product discovery and go-to-market strategies.. Lead the entire product lifecycle, translate complex business needs into product requirements, work with Engineering and Data Science to ensure feasibility.. Cultivate a empathy for HR processes and users, for driving transformational change.. Serve as the liaison between business stakeholders and technical teams, communicate progress and expectations.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

ESSENTIAL DUTIES AND RESPONSIBILITIES Develop data science solutions using Python and deep learning frameworks like Tensorflow and PyTorch Perform fast-paced analytical and data mining tasks to investigate all facets of a business problem Work alongside domain experts and get relevant knowledge about the core engg process involved in HDD design and manufacturing Create high quality presentations to communicate technical output to senior stakeholders Youll be part of a niche team embedded in factory operations working to optimize manufacturing processes for lower cost and higher revenue Deliver on cutting-edge data science algorithms and cloud architecture for production deployment Work with cross functional teams to develop ML capabilities in HDD products Self-motivated to work both unsupervised and as part of an agile team. Collaborate to develop self and others within group. Participate in planning and coordinating significant technical investigations from problem statement to conclusions. Required Master Degree in data science 2026 Passout. Candidate using deep learning in their research work are also encouraged to apply. Solid experience with data wrangling in Python (Pandas/NumPy). Exp

Description & Requirements We are looking for software engineers and quality analysts to develop, enhance, maintain and support What You Will Need: Basic Qualifications: 2-3 years Java & web development experience. Must have excellent Java programming skills. Must have excellent Angular, JSP, HTML & Javascript skills. Good Springboot framework knowledge. Good problem solving skills. Should be able to work with less supervision. Good verbal & written communication skills. Good to have SQL knowledge. Team player and quick leaner. What Will Put You AheadP: Preferred Qualifications: 2-3 years Java & web development experience. Must have excellent Java programming skills. Must have excellent Angular, JSP, HTML & Javascript skills.

We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. De

Medables mission is to get effective therapies to patients faster. We provide an end-to-end, cloud-based platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences. Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place. 1. Responsibilities Identify opportunities to build data science solutions that address complex business problems Lead cross-functional teams in the implementation of Data Services tools Support and lead the creation of relevant dummy data to test algorithms based on clinical study protocols and client needs Collaborate with internal stakeholders to implement data standardization across our products Communicate key insights and findings Lead/Collaborate on deep-dives to identify root causes of data issues in systems owned by Data Services/Other Departments Represent Data Science/Data Services at internal and external meetings with no oversight from Data Services leadership Mentor junior team members to drive development of the Data Services team to always produce High Quality Data Services deliverables Other duties as assigned 2. Experience 6+ years working with data analyses/reports to provide data-driven conclusions / direction, of which at least 50% is directly related to clinical trials (especially DCTs) within the pharmaceutical industry Practical experience in defining and maintaining Data Quality/Integrity Demonstrated expert knowledge of the role that decentralized trials (DCTs) and data play in clinical drug development Experience in leading cross-functional teams and representation of the data component Ability to read and interpret clinical study protocols and other internal/external documents that define products / solutions / implementation plans, particularly where data form the key component of the deliverable 3. Skills High attention to detail in order to draw insightful and data-driven business-relevant conclusions Excellent communication and presentation skills with experience presenting to both internal and external stakeholders Critical thinking and problem-solving skills 4. Education, Certifications, Licenses Bachelor s Degree in related filed i.e. Data Science, Computer Science or Mathematics 5. Travel Requirements As required At Medable, we believe that our team of Medaballers is our greatest asset. That is why we are committed to your personal and professional well-being. Our rewards are more than just benefits - they demonstrate our commitment to providing an inclusive, healthy and rewarding experience for all our team members. Flexible Work Remote from the start, we believe in a flexible employee experience Compensation Competitive base salaries Annual performance-based bonus Stock options for employees, aligning personal achievements to Medables success Health and Wellness Comprehensive medical, dental, and vision insurance coverage Carrot Fertility Program Health Saving Accounts (HSA) and Flexible Spending Accounts (FSA) Wellness program (Mental, Physical and Financial) Recognition Peer-to-peer recognition program, celebrating achievements and milestones Community Involvement Volunteer time off to support causes you care about Medable is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at hr@medable.com .

Director -Business(User Engagement) About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview We are seeking a dynamic and results-oriented Director, Business, to lead the vision and build the charter for user engagement on one of our flagship games. This pivotal role will be responsible for driving user engagement - increasing engagement metrics, and fostering a vibrant and loyal player community. The leader will also own and scale our centralized campaign operations team, ensuring the effective execution of all engagement initiatives. Job Location : Gurugram Key Responsibilities: Strategic Vision & Ownership: Define and execute the comprehensive user engagement strategy for [ Insert Specific Flagship Game Name Here ], aligning with overall business objectives and growth targets. Engagement Charter Development: Build and champion the charter for user engagement, encompassing all aspects from onboarding and early-life engagement to long-term loyalty building strategies. Deep Dive & Insights: Utilize data analytics and user research to understand player behavior, identify pain points, and uncover opportunities for engagement optimization. Translate insights into actionable strategies. Feature & Experience Enhancement: Collaborate closely with product, design, and engineering teams to conceptualize and champion in-game features and experiences that drive engagement and retention. Campaign Management & Optimization: Own and scale the centralized campaign operations team responsible for planning, executing, and analyzing a wide range of marketing and engagement campaigns (e.g., push notifications, in-app messaging, email, events, promotions). A/B Testing & Experimentation: Implement robust A/B testing frameworks to continuously optimize engagement initiatives and user flows. Team Leadership & Development: Lead, mentor, and grow a high-performing team of engagement managers and campaign specialists. Cross-Functional Collaboration: Work seamlessly with various teams including Product, Marketing, Data Science, and Engineering to ensure a cohesive and impactful user engagement strategy. Performance Monitoring & Reporting: Define key performance indicators (KPIs) for user engagement, track progress, and provide regular, data-driven reports to senior leadership. Competitive Analysis: Stay abreast of industry trends, competitor strategies, and best practices in mobile app user engagement. Qualifications & skills required 7+ years of proven experience in driving user engagement and retention on mobile app platforms , preferably within the gaming or entertainment industry. Demonstrated ability to define and execute comprehensive user engagement strategies that have led to significant improvements in engagement, LTV, and other key metrics. Strong understanding of mobile app ecosystem, user lifecycle management, and engagement levers. Hands-on experience with mobile analytics platforms and marketing automation tools. Proven experience in building, leading, and scaling high-performing teams. Excellent analytical skills with the ability to translate complex data into actionable insights and strategies. Exceptional communication, interpersonal, and presentation skills. Ability to thrive in a fast-paced, dynamic, and data-driven environment. Strong pedigree professionals will be preferred. (e.g., Tier 1 education, experience in leading consumer tech companies or top gaming firms). Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee

About Us. We are one of India’s most exciting & fast-growing mobile gaming companies. Founded in 2014, and creating a global mobile gaming landscape in partnership with Modern Times Group (MTG), our Vision is to create simple, impactful casual game experiences at a massive scale. Since our inception, we have built a worldwide network of chart-topping games, and powerful tech & analytics infrastructure to turbocharge their growth. Our product portfolio consists of evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch and Jigsaw. Visit us at www.playsimple.in to know more.. Role: Senior Data Scientist / Lead Data Scientist. Position Summary. We’re looking for Data Scientists to join our Central Analytics team. It’s a fast-paced, high-adrenaline job, with plenty to learn. If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, you’ll love this job.. What’s required of you. You will work closely with product leaders as a data-driven advisor and partner on strategic issues.. Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and. monetization.. Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay.. Will answer business-related questions through exploratory data analyses and ad-hoc reporting.. Requirements. Tech/M. Hands on experience in Python/Spark for data crunching, data visualization and machine learning.. SQL skills: Experience querying large, complex datasets from a data lake/warehouse.. Ability to execute research projects, and generate practical results and recommendations.. The candidate should enjoy both working with people and undertaking rigorous statistical analyses.. Knowledge of Deep Learning is highly desirable. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

Requirements. Bachelor's or Master's in Computer Science or related field focused on language processing. 10+ years of experience in NLP with strong Python skills. Expertise in machine learning frameworks and LLMs like BERT, GPT. Deep understanding of NLP techniques for text representation, semantic extraction, data structures, and modeling. Experience in end-to-end product lifecycle: design, development, QA, deployment, and maintenance. Responsibilities. Design and develop NLP-based AI systems focusing on user intent, context, and output. Collaborate with product, design, and development teams for optimal UX. Conduct user research and refine models based on feedback. Stay updated on AI, NLP, and conversational tech trends. Maintain engineering documentation and best practices. Support QA and DevOps processes to enhance model performance. Job Details. Location: Mumbai, BKC. Mode: 5 days a week, in-office. Interview process. HR Screening. Technical Round. Technical Round. Final Round with Founder. Show more Show less

Job Title: Machine Learning Engineer. Job Type: Full-time, Contractor. Job Summary:. We are seeking an innovative and highly skilled Machine Learning Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Job Description. Tietoevry Create is seeking a Senior Analytics Engineer to join our dynamic team in Bengaluru, India. In this role, you will lead the development and implementation of advanced analytics solutions, driving data-driven decision-making across the organization.. Design and develop scalable, efficient, and reliable data pipelines and ETL processes. Collaborate with cross-functional teams to identify and implement analytics solutions that address business needs. Lead the architecture and implementation of data models and analytics platforms. Mentor junior team members and promote best practices in analytics engineering. Optimize data retrieval and processing to improve system performance. Implement and maintain data quality controls and governance processes. Stay up-to-date with emerging technologies and industry trends in data analytics. Contribute to the development of data strategies and roadmaps. Provide technical expertise and support for complex analytics projects. Qualifications. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 5+ years of experience in analytics engineering or a related field. Advanced knowledge of data analytics tools and platforms. Proficiency in SQL, Python, and/or R. Experience with big data technologies such as Hadoop and Spark. Strong understanding of data modeling and ETL processes. Familiarity with cloud platforms (AWS, Azure, or GCP). Knowledge of machine learning algorithms and statistical analysis. Proven track record of leading analytics projects and mentoring junior team members. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Understanding of business intelligence and data-driven decision making. Knowledge of data governance and privacy regulations. Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are a plus. Additional Information. At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation.?Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.. Diversity,?equity and?inclusion (tietoevry.com). Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Title: Data Scientist – OpenCV. Experience: 2–3 Years. Location: Bangalore. Notice Period: Immediate Joiners Only. Job Overview. We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment.. Key Responsibilities. Develop and implement computer vision solutions using OpenCV and Python.. Work on tasks including object detection, recognition, tracking, and image/video enhancement.. Clean, preprocess, and analyze large image and video datasets to extract actionable insights.. Collaborate with senior data scientists and engineers to deploy models into production pipelines.. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning.. Prepare clear documentation for models, experiments, and technical processes.. Required Skills. Proficient in OpenCV and image/video processing techniques.. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib.. Solid understanding of basic machine learning and deep learning concepts.. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus.. Excellent analytical, problem-solving, and debugging skills.. Effective communication and collaboration abilities.. Preferred Qualifications. Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field.. Practical exposure through internships or academic projects in computer vision or image analysis.. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage.. What We Offer. A dynamic and innovation-driven work culture.. Guidance and mentorship from experienced data science professionals.. The chance to work on impactful, cutting-edge projects in computer vision.. Competitive compensation and employee benefits.. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Summary. The Machine Learning Engineer position focuses on developing machine learning models to solve real-world business challenges in a global industrial context. The primary goal is to support the AI team's efforts in creating innovative solutions for various applications across multiple industries.. Main Responsibilities. As a Machine Learning Engineer, your core duties will include:. Develop, train, test, and deploy machine learning models in areas such as computer vision, LLMs, and time series data.. Experiment with deep learning technologies, including self-supervised learning and generative AI.. Set up MLOps infrastructure for AI products.. Work with customer data to establish data pipelines for collection and transformation.. Collaborate with cross-functional teams to extend and build new AI products.. Analyze and interpret large datasets using advanced AI techniques.. Key Requirements. Bachelor or Master’s Degree in Data Science, Computational Statistics/Mathematics, Computer Science, or related field.. Basic understanding of neural networks and practical experience with deep learning frameworks like PyTorch and TensorFlow.. Experience in backend and API development using Python (e.g., FastAPI, Flask).. Knowledge of Object Oriented Programming, design patterns, algorithms, and version control systems (e.g., Git).. Nice to Have. Basic experience with cloud platforms (e.g., Azure), Docker, and Kubernetes.. Fluency in English.. Other Details. Location: Bengaluru, India. Team: Artificial Intelligence team, part of a global division.. Show more Show less

Join our Team. About This Opportunity. Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.. What You Will Do. Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.. Utilize Python for data manipulation, analysis, and modeling tasks.. Proficient in SQL for querying and analyzing large datasets.. Experience with Docker and Kubernetes for containerization and orchestration of applications.. Basic knowledge of PySpark for distributed computing and data processing.. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.. Deploy machine learning models into production environments and ensure scalability and reliability.. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.. Experience in analysing complex problems and translate it into algorithms.. Backend development in Rest APIs using Flask, Fast API. Deployment experience with CI/CD pipelines. Working knowledge of handling data sets and data pre-processing through PySpark. Writing queries to target Casandra, PostgreSQL database.. Design Principles in application development.. The Skills You Bring. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.. Proven experience in model development, evaluation, and deployment.. Strong programming skills in Python and SQL.. Familiarity with Docker, Kubernetes, and PySpark.. Solid understanding of machine learning techniques and algorithms.. Experience working with cloud platforms, preferably GCP.. Excellent problem-solving skills and ability to work independently as well as part of a team.. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Bangalore. Req ID: 763993. Show more Show less

Date: Jun 5, 2025. Company: Zelestra. Location. Gurugram, India. About Us. Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets.. One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.. One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs.. At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote.. In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer.. Mission. We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.. The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you.. Responsibilities. Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy.. LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance.. Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.. Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.. Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.. Experience. Job Requirements. 0-2 years as a data scientist or related role, preferably with time-series modeling experience.. Practical skills in Python, R, or similar programming languages.. Technical Skills. Proficient in building and deploying time-series forecasting models.. Experienced with data visualization tools such as Power BI, Tableau, or equivalent.. Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.. Skilled in Git and version control for collaborative projects.. Cloud & Infrastructure. Experience with cloud platforms like AWS and Azure for data storage and processing.. Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage).. Collaboration & Communication. Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.. Strong communication skills to translate technical findings into business strategies.. What We Offer. Career opportunities and professional development in a growing multinational company with a team highly qualified.. Flexible compensation.. Full working day.. Remote work 2 days a week.. Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society.. JR2212. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Join our Team. About This Opportunity. Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.. What You Will Do. Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.. Utilize Python for data manipulation, analysis, and modeling tasks.. Proficient in SQL for querying and analyzing large datasets.. Experience with Docker and Kubernetes for containerization and orchestration of applications.. Basic knowledge of PySpark for distributed computing and data processing.. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.. Deploy machine learning models into production environments and ensure scalability and reliability.. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.. Experience in analysing complex problems and translate it into algorithms.. Backend development in Rest APIs using Flask, Fast API. Deployment experience with CI/CD pipelines. Working knowledge of handling data sets and data pre-processing through PySpark. Writing queries to target Casandra, PostgreSQL database.. Design Principles in application development.. The Skills You Bring. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.. Proven experience in model development, evaluation, and deployment.. Strong programming skills in Python and SQL.. Familiarity with Docker, Kubernetes, and PySpark.. Solid understanding of machine learning techniques and algorithms.. Experience working with cloud platforms, preferably GCP.. Excellent problem-solving skills and ability to work independently as well as part of a team.. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Bangalore. Req ID: 763993. Show more Show less

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.. The Opportunity. From “Small Town Scares” to “Irreverent Comedies,” the system that powers Netflix’s multitudes of personalized row recommendations is the result of years of painstaking content analysis, intricate taxonomical work, data science, and pure movie and television geekery.. If you are an avid fan and a serious consumer of visual entertainment, the Product Metadata & Ratings team at Netflix is seeking a unique candidate who can capture the essence of films, series, and specials — and turn that into metadata and insights. This starts with digging deep into every title, researching, analyzing, tagging, rating, reviewing and understanding the nuances of the content to help connect our members to the content they’ll love.. This role will join a team of classification experts: people who can identify, collect and transform the artistic qualities of films and series into the data that powers personalization for more than 260 million people (and counting) around the world. This hire innately understands the facets, tropes, and themes that allow audiences around the world to laugh, think, escape, cry, and tell their friends, “You have to watch this.”. The Ideal Candidate. Has a deep and broad knowledge and experience of visual media and is passionate about global entertainment. They can succinctly and broadly communicate what’s important about a piece of content, and why. They are comfortable working in a high-volume, high-quality, deadlineand data-driven environment. They are an excellent cross-functional partner who can speak to how each title in their slate reflects market strategy. They can also represent the guidelines and decision-making that influenced their work to key stakeholders including Product, Creative Services, Marketing, Content, and Merchandising teams. Finally, they are flexible, adaptive and curious in an ever-evolving organizational landscape.. Responsibilities. Analyze, tag, research, and write detailed insights for all titles produced in or licensed for your market. This includes quality assurance on titles analyzed by externalized sources.. Represent the slate for your given market, collaborating with other teams on Product Discovery and Promotion. Build strong cross functional partnerships with Product, Merchandising, Creative, Content, and Marketing at all levels across the business.. Possess a deep understanding of your market, successfully able to interpret and speak to the business strategy for the region.. Have your finger on the pulse with regard to current affairs and cultural moments, while also being aware of historical, political, social and/or sensitive issues from across the region.. Represent, educate on and advocate for Content Understanding at the correct altitude and partner with Ratings and Partnerships to help stakeholders understand Ratings implications.. Qualifications. Prior experience in media as a writer or editor or experience as a Content Specialist, Insights Strategist, Metadata Analyst or Platform Editor. Passionate about films and series with a deep knowledge of your market’s entertainment industry and the global streaming landscape. Ability to distinguish nuances within different content genres and distill the essence of a film/series, including sharing findings in an objective, concise manner. Excellent communication, presentation and cross-functional skills within a highly matrixed org structure. Ability to master internal tools and systems successfully. Fluency in Airtable, Google Sheets, or other data trackers and data management systems. Experience working with large data catalogs is a plus. Fluency in English, Hindi, Tamil or Telugu (requires English and Hindi, either Tamil or Telugu expertise). Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.. Show more Show less

Description. The Head of AI Innovation will be responsible for conceptualizing, leading, and executing artificial intelligence initiatives across GarbhaGudi IVF to enhance clinical outcomes, streamline workflows, personalize patient engagement, and drive strategic advantage. This role bridges healthcare expertise, data science, and innovation leadership in a fast-evolving IVF ecosystem.. Job Responsibilities. Key Responsibilities. AI Strategy Development & Leadership. Define and implement a roadmap for AI adoption in clinical, patient, and back-office functions.. Identify high-impact use cases aligned with organizational goals—such as embryo selection, treatment prediction, patient follow-up automation, and inventory management.. Evaluate and deploy AI tools or build custom models with internal or external data science partners.. Clinical AI Applications. Collaborate with embryologists and clinicians to integrate AI into embryo grading, cycle prediction, imaging, and outcome forecasting.. Lead trials or pilots of AI models that improve treatment precision and success rates.. Ensure medical accuracy, ethical AI use, and patient data protection in all implementations.. Operational AI & Process Automation. Introduce AI-driven solutions for:. Demand forecasting. CRM and patient communication automation. Chatbots for pre-consultation and FAQs. Staff workload optimization. Data Governance & Infrastructure. Work with IT and Data teams to improve data quality, integration, and accessibility across departments.. Ensure adherence to HIPAA-like standards and ethical AI usage.. Build or supervise a centralized data warehouse or AI-ready ecosystem.. Vendor and Ecosystem Collaboration. Identify, evaluate, and manage partnerships with AI tech companies, academic institutions, and healthcare startups.. Represent GarbhaGudi at AI in Healthcare forums, summits, and collaborations.. Qualifications. Candidate Profile:. Master’s or PhD in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, or related field.. Additional certification or exposure to healthcare informatics or medical data is highly preferred.. Experience. 7–10 years in AI development or AI strategy, with at least 2 years in healthcare or life sciences.. Demonstrated success in deploying AI models from pilot to production in a regulated environment.. Experience with medical imaging, NLP, predictive analytics, or patient behavior modeling is a plus.. Technical Skills. Familiarity with Python, TensorFlow, PyTorch, and cloud AI platforms (AWS, GCP, Azure).. Strong understanding of data science lifecycle, model validation, and ML Ops.. Ability to translate clinical requirements into technical AI solutions.. Soft Skills. Visionary thinker with hands-on execution capability.. Strong communication skills to align cross-functional stakeholders.. High integrity, discretion, and empathy in handling patient-centric innovation.. Success Metrics (First 12–18 Months). Launch of at least 2 AI pilots impacting core IVF functions (e.g., embryo grading or treatment personalization).. Measurable improvement in patient outcomes, efficiency, or lead conversion via AI.. Foundation for a scalable AI innovation lab or internal AI center of excellence.. Enhanced organizational readiness for data-driven decision-making.. Why Join GarbhaGudi IVF?. GarbhaGudi is a pioneer in compassionate and cutting-edge fertility care. This is a unique opportunity to shape the future of reproductive healthcare through ethical AI innovations that touch lives and build families. You’ll lead transformative initiatives in an environment that values science, empathy, and long-term impact.. Show more Show less