75 Torch Jobs - Page 2

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way . Job Description Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Role: In your role as a Lead Product Engineer with us, you will be tasked with creating and delivering novel machine learning solutions for next generation of digital customer experience applications. What will you do : Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines Work closely with machine learning leadership team to define and implement the technology and architectural strategy Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs, delivery Deliver and maintain high-quality scalable systems in a timely and cost-effective manner Recognizing potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 3 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers Experience with large language models (GPT-3, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs Nice to Have: Experience in directly managing a team of high calibre machine learning engineers and data scientists Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology A real passion for AI! Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr 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. See also Sprinklr’s EEO Policy and EEO is the Law. Show more Show less

Job Description Vice President, Data Management & Quantitative Analysis I At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Vice President I to join our Data Management & Quantitative Analysis team. This role is located in Pune, MH or Chennai, TN (Hybrid). In this role, you’ll make an impact in the following ways: BNY Data Analytics Reporting and Transformation (“DART”) has grown rapidly and today it represents a highly motivated and engaged team of skilled professionals with expertise in financial industry practices, reporting, analytics, and regulation. The team works closely with various groups across BNY to support the firm’s Capital Adequacy, Counterparty Credit as well as Enterprise Risk modelling and data analytics; alongside support for the annual Comprehensive Capital Analysis and Review (CCAR) Stress Test. The Counterparty Credit Risk Data Analytics Team within DART designs and develops data-driven solutions aimed at strengthening the control framework around our risk metrics and reporting. For the Counterparty Credit Risk Data Analytics Team, we are looking for a Counterparty Risk Analytics Developer to support our Counterparty Credit Risk control framework. Develop analytical tools using SQL & Python to drive business insights Utilize outlier detection methodologies to identify data anomalies in the financial risk space, ensuring proactive risk management Analyze business requirements and translate them into practical solutions, developing data-driven controls to mitigate potential risks Plan and execute projects from concept to final implementation, demonstrating strong project management skills Present solutions to senior stakeholders, effectively communicating technical concepts and results Collaborate with internal and external auditors and regulators to ensure compliance with prescribed standards, maintaining the highest level of integrity and transparency. To be successful in this role, we’re seeking the following: A Bachelor's degree in Engineering, Computer Science, Data Science, or a related discipline (Master's degree preferred) At least 3 years of experience in a similar role or in Python development/data analytics Strong proficiency in Python (including data analytics, data visualization libraries) and SQL, basic knowledge of HTML and Flask. Ability to partner with technology and other stakeholders to ensure effective functional requirements, design, construction, and testing Knowledge of financial risk concepts and financial markets is strongly preferred Familiarity with outlier detection techniques (including Autoencoder method, random forest, etc.), clustering (k-means, etc.), and time series analysis (ARIMA, EWMA, GARCH, etc.) is a plus. Practical experience working with Python (Pandas, NumPy, Matplolib, Plotly, Dash, Scikit-learn, TensorFlow, Torch, Dask, Cuda) Intermediate SQL skills (including querying data, joins, table creation, and basic performance optimization techniques) Knowledge of financial risk concepts and financial markets Knowledge of outlier detection techniques, clustering, and time series analysis Strong project management skills Show more Show less

Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. Job Specification / Skills and Competencies ▪Preferably current location Ernakulam/ Trivandrum ▪Willing to work in hybrid/ Remote mode ▪Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns Show more Show less

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Vice President I to join our Data Management & Quantitative Analysis team. This role is located in Pune, MH or Chennai, TN (Hybrid). In this role, you’ll make an impact in the following ways: BNY Data Analytics Reporting and Transformation (“DART”) has grown rapidly and today it represents a highly motivated and engaged team of skilled professionals with expertise in financial industry practices, reporting, analytics, and regulation. The team works closely with various groups across BNY to support the firm’s Capital Adequacy, Counterparty Credit as well as Enterprise Risk modelling and data analytics; alongside support for the annual Comprehensive Capital Analysis and Review (CCAR) Stress Test. The Counterparty Credit Risk Data Analytics Team within DART designs and develops data-driven solutions aimed at strengthening the control framework around our risk metrics and reporting. For the Counterparty Credit Risk Data Analytics Team, we are looking for a Counterparty Risk Analytics Developer to support our Counterparty Credit Risk control framework. Develop analytical tools using SQL & Python to drive business insights Utilize outlier detection methodologies to identify data anomalies in the financial risk space, ensuring proactive risk management Analyze business requirements and translate them into practical solutions, developing data-driven controls to mitigate potential risks Plan and execute projects from concept to final implementation, demonstrating strong project management skills Present solutions to senior stakeholders, effectively communicating technical concepts and results Collaborate with internal and external auditors and regulators to ensure compliance with prescribed standards, maintaining the highest level of integrity and transparency. To be successful in this role, we’re seeking the following: A Bachelor's degree in Engineering, Computer Science, Data Science, or a related discipline (Master's degree preferred) At least 3 years of experience in a similar role or in Python development/data analytics Strong proficiency in Python (including data analytics, data visualization libraries) and SQL, basic knowledge of HTML and Flask. Ability to partner with technology and other stakeholders to ensure effective functional requirements, design, construction, and testing Knowledge of financial risk concepts and financial markets is strongly preferred Familiarity with outlier detection techniques (including Autoencoder method, random forest, etc.), clustering (k-means, etc.), and time series analysis (ARIMA, EWMA, GARCH, etc.) is a plus. Practical experience working with Python (Pandas, NumPy, Matplolib, Plotly, Dash, Scikit-learn, TensorFlow, Torch, Dask, Cuda) Intermediate SQL skills (including querying data, joins, table creation, and basic performance optimization techniques) Knowledge of financial risk concepts and financial markets Knowledge of outlier detection techniques, clustering, and time series analysis Strong project management skills Show more Show less

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Shashank Patil from Oneture Technologies. Show more Show less

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role As a DL Intern at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. You will be a member of our Product Team and solve real-world problems through a process of prototyping, implementation, measurement, and iteration. You will be assisting in researching the latest developments in computer vision/deep-learning/machine learning, and understanding what works best for our users. You will also be assisting in developing models, techniques, and tools and integrating new capabilities into Quidich’s AI platforms. Responsibilities Working with the research team to develop, evaluate, and optimize various state-of-the-art algorithms. Helping in developing new frameworks/features, and improving performance and stability for the full product development life cycle. Designing, building, and maintaining high-performance, reusable, scalable, and reliable code. Carrying out the necessary documentation, reviews, evaluation metrics, bug reports, and quality tests for the product and the developed components/features. Demonstrating best presentation skills for showcasing results, team spirit, and effective communication. Learning and constantly updating yourself on the emerging trends of technology and applying them in projects for better results. Qualifications, Skills, and Competencies Pursuing a degree in Computer Science or related field. Strong understanding of Computer Vision, Deep Learning, and related technologies. Knowledge of NN frameworks such as TensorFlow, Keras, Caffe, or Torch. Solid grasp in C++, oop concepts, data structures and algorithms. Experience with Github, Docker or AWS is a plus. Location: Mumbai Reporting To : Product Lead Joining Date : Immediate Interested candidates, please send your CV to careers@quidich.com Show more Show less

About Us: Senior Data Scientist – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Senior Data Scientist in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 4 - 8 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting Very proficient is SQL and other relational databases. Proficient in PySpark. Experience in using NoSQL databases. Candidate who is able to handle unstructured data with ease preferred Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) a big plus Strong communication, partnership and teamwork skills Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

About Us: Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

JOB DESCRIPTION • Strong in Python with libraries such as polars, pandas, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers • Must have: Deep understanding of modern recommendation systems including two-tower , multi-tower , and cross-encoder architectures • Must have: Hands-on experience with deep learning for recommender systems using TensorFlow , Keras , or PyTorch • Must have: Experience generating and using text and image embeddings (e.g., CLIP , ViT , BERT , Sentence Transformers ) for content-based recommendations • Must have: Experience with semantic similarity search and vector retrieval for matching user-item representations • Must have: Proficiency in building embedding-based retrieval models , ANN search , and re-ranking strategies • Must have: Strong understanding of user modeling , item representations , temporal/contextual personalization • Must have: Experience with Vertex AI for training, tuning, deployment, and pipeline orchestration • Must have: Experience designing and deploying machine learning pipelines on Kubernetes (e.g., using Kubeflow Pipelines , Kubeflow on GKE , or custom Kubernetes orchestration ) • Should have experience with Vertex AI Matching Engine or deploying Qdrant , F AISS , ScaNN , on GCP for large-scale retrieval • Should have experience working with Dataproc (Spark/PySpark) for feature extraction, large-scale data prep, and batch scoring • Should have a strong grasp of cold-start problem solving using metadata and multi-modal embeddings • Good to have: Familiarity with Multi-Modal Retrieval Models combining text, image, and tabular features • Good to have: Experience building ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate re-ranking • Must have: Knowledge of recommender metrics (Recall@K, nDCG, HitRate, MAP) and offline evaluation frameworks • Must have: Experience running A/B tests and interpreting results for model impact • Should be familiar with real-time inference using Vertex AI , Cloud Run , or TF Serving • Should understand feature store concepts , embedding versioning , and serving pipelines • Good to have: Experience with streaming ingestion (Pub/Sub, Dataflow) for updating models or embeddings in near real-time • Good to have: Exposure to LLM-powered ranking or personalization , or hybrid recommender setups • Must follow MLOps practices — version control, CI/CD, monitoring, and infrastructure automation GCP Tools Experience: ML & AI : Vertex AI, Vertex Pipelines, Vertex AI Matching Engine, Kubeflow on GKE, AI Platform Embedding & Retrieval : Matching Engine, FAISS, ScaNN, Qdrant, GKE-hosted vector DBs (Milvus) Storage : BigQuery, Cloud Storage, Firestore Processing : Dataproc (PySpark), Dataflow (batch & stream) Ingestion : Pub/Sub, Cloud Functions, Cloud Run Serving : Vertex AI Online Prediction, TF Serving, Kubernetes-based custom APIs, Cloud Run CI/CD & IaC : GitHub Actions, GitLab CI Show more Show less

Hello Doctors! Are you looking for teleconsultation opportunity to grow your patient base and business? Now is the TIME! In the wake of Covid-19 pandemic, Government of India has allowed Doctors to consult rural patients through technology. As a torch bearer XpressCure is determined to serve the underserved areas by establishing Digital Clinics across India in the remotest of corners. To join the panel of esteemed MD Medicine Doctors, you just need to register yourself for FREE on our Android App: https://play.google.com/store/apps/details?id=com.xpresscure.doctor Post registration, you can start serving patients online, Anytime, Anywhere! Lets move towards starting your Zero-Investment Online Clinic Today! Show more Show less

Networking with students through mails/calls/social media/whatsapp/etc You must be emotionally available to help students choose Career path and mentor them on how to make their career in Media & entertainment industry Handling outbound calls/Inbound calls to share information about the different courses we offer Generating walk-ins to the centre from fresh leads and through follow ups Effectively explaining in detail during the counselling & enrolling the student Collecting fees installments & date of joining amount Be a 'torch bearer' for all the students coming in connect with Maintaining and updating the students database in excel Proficiency in MS office (MS Word, MS Excel, Outlook) Sales Experience is Mandatory Female Candidates Only Job Type: Full-time Pay: ₹20,000.00 - ₹45,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Performance bonus Experience: total work: 2 years (Preferred) Work Location: In person Application Deadline: 25/01/2024

Please find the Job Description for EDR : 1. -Good working knowledge of EDR solutions such as MDATP, FireEye, CrowdStrike Falcon, Carbon Black. 2. -Must be well-versed with Operating System concepts i.e. Windows/Linux/MacOS 3. -Ability to distinguish between False Positives and False Negatives detections with respect to logs available. 4. -Good Exposure to OSINT tools, sandboxing, encoding-decoding techniques for independent investigation. 5. -Must be able to Investigate and Triage EDR related alerts with an ability to share detailed investigation reports to clients within SLA. 6. -Knowledge of Cyber kill chain and MITRE ATT&CK techniques and tactics used by adversary to evade detection. 7. -Awareness of various stages of Incident Response which involves in-depth analysis and RCA submission on security incidents. 8. -Good understanding of Malware Analysis i.e. static and dynamic and its variants. 9. -Exposure to adversary simulation and red teaming tools such as Caldera, PowerShell Empire, Cactus Torch 10. -Understanding of Database language i.e. KQL is a Plus. 11. -Understanding of Network Security concepts and popular encryption standards. 12. -Excellent communication skills for cross-group and interpersonal skills with ability to articulate business need for detection improvements. 13. -Exposure to reverse engineering of malware samples is a plus. 14. -Certification in OSCP, OSCE, GREM, GCIH, GCFA will be highly preferred. ***Willing to work in rotational shift timings.// To be added if required. Show more Show less

Malware Analyst Here are the some of the key skills which we are looking for it: Static and dynamic malware analysis(aware of file structure like, PE, PDF, OLE, windows short cut files etc...) someone who has hands on writing signatures for malware samples(at-least initial vector malware). Aware of trending malware family campaign and analysis for threat write ups for that follow up family. (example malware family - Emotet/Qakbot/AgentTesla etc..) Email security and Endpoint Security (EOP) Investigating the Phishing campaign and spam emails which users have received and reported. Threat Intelligence analysis/ Threat hunting Analyzing PE files (Dynamic and static analysis) and providing detection for malicious PE files.(RE/Malware Analysis) Analyzing non-PE file s (like OLE / PDF / HTML / HTA / VBS|VBE /JS/ WSF/JAR/LNK) andproviding detection for malicious files. Malware Analysis and Reversing. Reverse Engineering skills: familiar with debuggers, disassemblers, network protocols, file formats, sandboxes, hardware/firmware internals, software communication mechanisms, Classification, clustering and labelling of Malware. Knowledge of Advanced Techniques of Malware Analysis. Knowledge of Malware kill chain and MITRE ATT&CK techniques and tactics. Knowledge of AV evasion techniques and Pen testing tools like - Veil (equal rank), PowerShell Empire, Meterpreter, Unicorn, Cactus Torch, and Any other similar tools Additionally, Experience with advanced persistent threats, human adversary compromises and incident response. Excellent cross-group and interpersonal skills, with the ability to articulate business need for detection improvements. Excellent analytical skills and ability to identify patterns and trends. Strong research skills, data knowledge, and ability to analyze and present complex data in a meaningful way. Strong understanding of Cyber Security, modern security problems and threat landscape, Operating Systems (internals), computer networking concepts. Required Skills: Olly DBG, IDA PRO, Static and dynamic malware analysis, PE and non-PE file analysis Show more Show less

Key Responsibilities: Develop Python Code: Write efficient, maintainable code for AI/ML algorithms and systems. Model Development: Design, train, and deploy machine learning models (supervised, unsupervised, deep learning). Data Processing: Clean, preprocess, and analyze large datasets. Collaboration: Work with cross-functional teams to integrate AI/ML models into products. Optimization: Fine-tune models for performance, accuracy, and scalability. Required Skills: Strong Python programming skills, with experience in libraries like NumPy, pandas, scikit-learn, TensorFlow, or Py Torch. Hands-on experience in AI/ML model development and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and version control (Git). Degree in Computer Science, Data Science, or a related field. Job Type: Full-time Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Indore Pardesipura, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) Work Location: In person

Primary Skill Python,Flask Secondary skill Cloud,Database Strong hands-on programming experience with Python (Flask, Django, or FastAPI preferred). Expertise in Python with FastAPI.Proficiency in designing and consuming RESTful APIs and GraphQL. Solid understanding of RESTful API development and integration. Practical experience with cloud platforms (AWS Lambda, Azure Functions, GCP App Engine, or similar services). Basic exposure or working knowledge of AI/ML concepts and frameworks (like sci-kit-learn, TensorFlow, PyTorch). Good understanding of microservices architecture and containerization (Docker preferred). Proficient with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.). Experience in product development with SaaS applications. Experience with version control systems (Git) and CI/CD pipelines. Knowledge of asynchronous programming and message queues (RabbitMQ, Kafka) is a plus. Strong problem-solving, analytical, and communication skills. Familiarity with machine learning and data science workflows.(e.g., TensorFlow, Py Torch) Experience in working with front-end technologies like JavaScript, React, or Angular is desirable. Show more Show less

Lead AI Engineer Skills – Mandatory - Python, Data Science (AI/ML), SQL Skills - Primary - Python, Data Science (AI/ML), SQL Skills - Good to have - Python, Data Science (AI/ML), SQL Qualification - Bachelor’s Degree Total Experience - 5+ years Relevant Experience - 5+ years Work Location Cochin/TVM /Remote Candidate From Kerala , Tamil Nadu prefer More . Total and Relevant experience 5+ is a must Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages Python. ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns Interested candidate please drop your resume to : gigin.raj@greenbayit.com MOB NO - 8943011666 Show more Show less

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers

Job Description: You will provide leadership in designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Assign tasks to the team and monitor as well Skills Required MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 7+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads. About Company: AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories. We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain, by speeding up pre-clinical drug development timelines, and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. Our clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs around the world. Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in your image analysis and study management workflows. Our flexible service model enables the swift deployment of these custom solutions with minimal resource and time commitment from your side. Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences. -- Regards, Surya Prajapati Talent Acquisition Specialist Email : surya.prajapati@airamatrix.com Website : https://www.airamatrix.com Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within… Responsibilities Experience : 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS). AI Frameworks/Services : Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming : Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise : Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering : Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies : Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory Skill Sets AI/ML Developer Preferred Skill Sets Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Years Of Experience Required 3-7 Years Education Qualification B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language Optional Skills Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

We're hiring Sr. Frontend Developers to build meaningful tech at scale 🚀 What if each line of code you write contributes to something far more meaningful than just another feature? At Acharya Prashant's organization, with 4+ lakh monthly users engaging with our website, this is exactly what we do—address the world’s most pressing challenges: climate crisis, violence, superstition, gender inequality, and more. Requirements: Lead : Take charge of projects end-to-end, from technical design and implementation to launch and then monitoring Design : Leverage expertise in system design and design patterns to build scalable solutions Innovate : Develop cutting-edge solutions using latest frontend technologies ensuring they meet the highest standards of performance and scalability Guide : Onboard and mentor junior engineers, imparting your knowledge and expertise to drive their growth Optimize : Build high-performing web apps that is fast, testable, scalable, and of impeccable quality Contribute : Participate in code reviews, documentation, setting up development processes to deliver pure quality with lightning speed Stay Current: Keep up with the latest in the frontend ecosystem and top engineering practices You Should Have: Expertise in ReactJS/Vue/Svelte, NextJS/SvelteKit, JavaScript, Tailwind CSS, and Redux Experience integrating RESTful APIs Proven ability to convert (Figma/Sketch) designs into fully responsive web pages Basic understanding of Design Patterns, Clean Architecture, and SOLID design principles Familiarity with Technical SEO strategies Proficient in using Git for version control Understanding of Performance Metrics and Optimization techniques Excellent debugging and problem-solving skills Strong communication skills to collaborate effectively with Design, API, and QA teams Good understanding of UI/UX principles and ability to collaborate with designers to create smooth user experiences What we offer: A dynamic work environment that values purpose, professionalism, and impact. Opportunities to work with cutting-edge tools and technologies to build high-impact products. Opportunities for both career advancement and personal development. A chance to contribute to a meaningful mission that aligns with modern values and ethical standards. Competitive Compensation: We value your talent and commitment, offering a competitive package that reflects your expertise and dedication. Acharya Prashant's Sessions: Get the opportunity to attend Acharya Prashant's Sessions. Unleash Your Potential: Your potential is boundless, and we are here to help you reach its highest peak. Innovation and Creativity : Have the freedom to explore, experiment, and bring your creativity to the forefront. Diverse Challenges: Encounter exciting and sometimes audacious projects that will help you grow personally and professionally. Fearless Culture : We foster a culture that encourages courage, resilience, and the pursuit of excellence. Mentorship and Support: You’ll be working alongside brilliant minds from companies like Apple, Microsoft, and Uber, all under the guidance of Acharya Prashant. 📩 Apply now to join a passionate team and make a real impact. ➖➖➖ About Acharya Prashant: Acharya Prashant, an alumnus of IIT-D, IIM-A and an ex-civil servant, is the world’s most-followed spiritual leader, with over 84+ million followers across social media. He is a powerful voice of spiritual-social awakening in the world today. A blazing torch of Vedanta, a vocal warrior against superstition and inner weaknesses, animal lover and promulgator of pure spiritual veganism, environmental activist, a friendly guide to the youth - he wears many identities. As a spiritual teacher, author, and philosopher rooted in Advait Vedanta, he has transformed the lives of hundreds of millions of people globally, sharing profound wisdom in simple, practical, and accessible ways. His literature spans 10,000+ videos, 160+ books (including 20 National Bestsellers), 10,000+ articles from various genres, including spirituality, psychology, and philosophy, offering readers a deep exploration of timeless wisdom across multiple dimensions of life. About Acharya Prashant’s Organization: Acharya Prashant’s organization impacts the life of every 3rd person in India, with over 64 Million+ subscribers and 4.4 Billion+ views across 20 YouTube channels, all built by Acharya Prashant with the help of just 15 self-taught individuals. Dig into our older videos, and you’ll see the upskilling in action. At Acharya Prashant’s organization, you will have the opportunity to shape life changing products: an innovative social media platform, a world-class learning app, the biggest spiritual library, videos that surpass global standards, national bestseller books, and groundbreaking AI models to push boundaries. Checkout: Acharya Prashant's Hindi YouTube Channel: https://www.youtube.com/@ShriPrashant Acharya Prashant's English YouTube Channel: https://www.youtube.com/@AcharyaPrashant Acharya Prashant's Website: https://acharyaprashant.org/ Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within… Responsibilities Experience : 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS). AI Frameworks/Services : Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming : Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise : Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering : Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies : Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory Skill Sets AI/ML Developer Preferred Skill Sets Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Years Of Experience Required 3-7 Years Education Qualification B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language Optional Skills Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within… Responsibilities Experience : 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS). AI Frameworks/Services : Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming : Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise : Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering : Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies : Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory Skill Sets AI/ML Developer Preferred Skill Sets Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Years Of Experience Required 3-7 Years Education Qualification B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language Optional Skills Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within… Responsibilities Experience : 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS). AI Frameworks/Services : Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming : Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise : Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering : Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies : Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory Skill Sets AI/ML Developer Preferred Skill Sets Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Years Of Experience Required 3-7 Years Education Qualification B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language Optional Skills Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within… Responsibilities Experience : 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS). AI Frameworks/Services : Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming : Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise : Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering : Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies : Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory Skill Sets AI/ML Developer Preferred Skill Sets Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Years Of Experience Required 3-7 Years Education Qualification B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language Optional Skills Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Maco Corporation India Pvt Ltd. Maco is a 58-years-old company headquartered in Kolkata and has 10 branch offices. Maco employs more than 800 people to serve the core industries of India & GCC Region. Maco provides Marketing & After-Sales Services to American & European Manufacturers. Representing 20+ Leading Overseas Manufacturers from across the globe. Maco has 6 Joint Ventures with Global Manufacturers for production and sales in India and GCC Region WEBSITE : Maco Corporation- Top Industrial Equipment Supplier in India D&T ( Kolkata) : Equipment / high value products Sales in Steel & MH. Position: Manager/Senior Manager Location: Kolkata Experience: 10-12yrs CTC: as per industry standard Area of Operation: Eastern India Product line: Rotary Union, Rotary equipment and parts like Cardan shafts, Geared Spindles & coupling, Gear Box etc. and Capital Equipment's like Laser Welder , Scarfing Machine, Marking Machine, Torch Cutting Machine etc. The Customer base ideal candidate should have a strong background in industrial sales in sectors like Steel and Material Handling . Lead generation to the successful execution of the order and all types of coordination related to it which typically includes: 1 . Responsible for developing sales in the entire region. 2. Sales calls and identifying and establishing new business. 3. Providing pre-sales technical discussion /assistance and product education to customers 4 Having technical- commercial discussion with customers 5. Meeting sales target set for the area. 6. Supporting marketing by attending trade shows, conferences, and other marketing activities. Show more Show less