1632 Sagemaker Jobs

Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection

Experience Range 6 – 8 years for Tech Lead . 9 - 12 Yrs evaluated for Associate Architect. Work Profile Bhashini 2.0 is India's ambitious initiative to transform its language technology landscape into a self-sustaining, intelligent AI ecosystem. Moving beyond public utility, Bhashini 2.0 will evolve into a comprehensive SaaS marketplace, empowering users with custom language solutions, fostering seamless partnerships, and building a vibrant community, all while bridging the digital divide across diverse Indian languages and dialects. This includes advanced AI models (NMT, ASR, TTS, OCR), a dynamic API marketplace, robust stakeholder engagement, an innovative "Hundi" orchestration engine, next-gen mobile app catering to rural users also, and a sophisticated data management framework. Work Location /Address Location: NCR Address: Express Corporate Park, 1st Floor, Plot no 15, 16, Film City, Sector 16A, Noida, Uttar Pradesh 201301 Work Mode 4-5 days per week at Client office This is a Sr. role and it is expected that one is flexible on this based on how the situation demands. Key Skills Hashtags Technology Lead, Technical Lead, Associate Architect, Technical Architecture, AI/ML, AI Models (Layout Detection, OCR, Translation) NLP, etc Key Attitude / Traits Brings in core values such as; 1. Strategic Mindset: Bring in the Big picture (Why are we doing what we are doing) 2. Start-Up Mindset: Bring in Passion & Energy into the work, with full heart. Do not treat this as a 9 to 5 job. Be outcome/result oriented than activity/effort oriented. A fail-fast approach to achieve progress than be slowed down by perfection. 3. Ownership Mindset: To take end to end Responsibility and Accountability of deliverables. Have no-excuse mindset towards commitments, in spite of constraints and dependencies. Let no personal or team boundaries come in the way of delivering. 4. Growth Mindset: Be open to challenges and learning. Demonstrate resilience in tough times. Skills- Hard Must Have: 1. Ability to Architect and Design AI/ML systems in NLP domain 2. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn. 3. Experience with LLMs, NLP, CV, or time-series modeling. 4. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines (MLflow, Kubeflow, etc.). 5. Strong understanding of data structures, algorithms, and system design. 6. Excellent communication and stakeholder management skills. 7. Ability to Inspire, Assist and Govern Technical teams to deliver to commitments Good to Have: 1. Experience deploying models in production environments using REST APIs, containers, or streaming platforms. 2. Knowledge of data privacy, model fairness, and explainability techniques. 3. Contributions to open-source AI/ML projects or publications in AI conferences. Skills – Soft Must Have: 1. Excellent Interpersonal skills 2. Excellent Communication Skills 3. Good Analytical skill 4. Problem Solving Skill Good to Have: 1. Decision Making Skill Nice to Have: 1. CxO interaction skills Knowledge / Certifications Must Have 1. Technical Architecture Good to Have 1. TOGAF Certification Roles & Responsibilities The AI Lead will be a hands-on technical leader responsible for guiding a team of engineers in the design, development, and delivery of specific, critical components of Bhashini 2.0 (e.g., 20+ services like ASR, TTS, OCR, etc and the Products using them, covering 22+ Indian Official languages across hundreds of dialects). You will ensure technical excellence, code quality, and adherence to architectural guidelines within the AI domain, while actively contributing to code development and mentoring team members. 1. Lead the end-to-end lifecycle of AI projects: from research and prototyping to deployment and monitoring. 2. Design and build scalable machine learning and deep learning models using modern frameworks. 3. Architect AI systems integrating cloud services, APIs, and MLOps practices. 4. Collaborate with data engineers, product managers, and domain experts to translate business needs into technical solutions. 5. Mentor and guide junior AI/ML engineers and researchers. 6. Ensure AI models are interpretable, ethical, and robust in production. 7. Conduct code reviews, performance optimizations, and contribute to a high-quality development culture. 8. Stay updated with the latest advancements in AI research, tools, and practices. Experiences Must Have : 1. 5+ years of experience in AI/ML development, with at least 2 years in a technical leadership or AI team lead role. 2. Strong proficiency in Python and familiarity with major AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). 3. Experience in building and deploying machine learning or deep learning models in production environments. 4. Proficient in designing end-to-end ML pipelines including data preprocessing, model training, evaluation, and monitoring. 5. Hands-on experience with REST APIs and integrating ML models into production-grade applications. 6. Solid understanding of AI system architecture, including data engineering, MLOps, and cloud deployment (AWS/GCP/Azure). 7. Exposure to Large Language Models (LLMs), NLP techniques, or Computer Vision pipelines. 8. Working knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker for model lifecycle management. 9. Strong coding, debugging, and optimization skills along with a solid grasp of software design principles and system architecture. 10. Excellent communication and mentoring skills, with a proven ability to lead technical teams and collaborate cross-functionally. Good to Have: 1. Experience with Kubernetes, Docker, and CI/CD pipelines for ML workloads. 2. Familiarity with ethical AI practices, including model fairness, explainability, and data privacy. 3. Knowledge of time-series analysis or reinforcement learning techniques. 4. Prior experience working in agile development environments (Scrum, Kanban). 5. Contributions to research publications, patents, or open-source AI/ML projects. 6. Exposure to prompt engineering or fine-tuning of foundation models (e.g., GPT, BERT, LLaMA). Why Join Us? 1. Be part of a nation-building mission to digitally empower every Indian. 2. Work on cutting-edge AI technologies applied to societal transformation. 3. Collaborate with the best minds across academia, startups, and government. 4. Influence policy, architecture, and impact on population scale.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. System Administrator - AI/ML Platform: We are looking for a detail-oriented and technically proficient AI/ML Cloud Platform Administrator to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both AWS and Azure cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms. Your responsibilities will include: Provision, configure, and maintain ML infrastructure on AWS (e.g., SageMaker, Bedrock, EKS, EC2, S3) and Azure (e.g., Azure Foundry, Azure ML, AKS, ADF, Blob Storage) Manage cloud resources (VMs, containers, networking, storage) to support distributed ML workflows Deploy and Manage the open source orchestration ML Frameworks such as LangChain and LangGraph Implement RBAC, IAM policies, Azure AD, and Key Vault configurations to manage secure access. Monitor security events, handle vulnerabilities, and ensure data encryption and compliance (e.g., ISO, HIPAA, GDPR) Monitor and optimize performance of ML services, containers, and jobs Set up observability stacks using Fiddler , CloudWatch, Azure Monitor, Grafana, Prometheus, or ELK . Manage and troubleshoot issues related to container orchestration (Docker, Kubernetes – EKS/AKS) Use Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Bicep to automate environment provisioning Collaborate with MLOps teams to automate deployment pipelines and model operationalization Implement lifecycle policies, quotas, and data backups for storage optimization Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in cloud administration, with 2+ years supporting AI/ML or data platforms Proven hands-on experience with both AWS or Azure Proficient in Terraform, Docker, Kubernetes (AKS/EKS), Git, Python or Bash scripting Security Practices: IAM, RBAC, encryption standards, VPC/network setup Requisition ID: 611330 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Experience Range 6 – 8 years for Tech Lead . 9 - 12 Yrs evaluated for Associate Architect. Work Profile Bhashini 2.0 is India's ambitious initiative to transform its language technology landscape into a self-sustaining, intelligent AI ecosystem. Moving beyond public utility, Bhashini 2.0 will evolve into a comprehensive SaaS marketplace, empowering users with custom language solutions, fostering seamless partnerships, and building a vibrant community, all while bridging the digital divide across diverse Indian languages and dialects. This includes advanced AI models (NMT, ASR, TTS, OCR), a dynamic API marketplace, robust stakeholder engagement, an innovative "Hundi" orchestration engine, next-gen mobile app catering to rural users also, and a sophisticated data management framework. Work Location /Address Location: NCR Address: Express Corporate Park, 1st Floor, Plot no 15, 16, Film City, Sector 16A, Noida, Uttar Pradesh 201301 Work Mode 4-5 days per week at Client office This is a Sr. role and it is expected that one is flexible on this based on how the situation demands. Key Skills Hashtags Technology Lead, Technical Lead, Associate Architect, Technical Architecture, AI/ML, AI Models (Layout Detection, OCR, Translation) NLP, etc Key Attitude / Traits Brings in core values such as; 1. Strategic Mindset: Bring in the Big picture (Why are we doing what we are doing) 2. Start-Up Mindset: Bring in Passion & Energy into the work, with full heart. Do not treat this as a 9 to 5 job. Be outcome/result oriented than activity/effort oriented. A fail-fast approach to achieve progress than be slowed down by perfection. 3. Ownership Mindset: To take end to end Responsibility and Accountability of deliverables. Have no-excuse mindset towards commitments, in spite of constraints and dependencies. Let no personal or team boundaries come in the way of delivering. 4. Growth Mindset: Be open to challenges and learning. Demonstrate resilience in tough times. Skills- Hard Must Have: 1. Ability to Architect and Design AI/ML systems in NLP domain 2. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn. 3. Experience with LLMs, NLP, CV, or time-series modeling. 4. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines (MLflow, Kubeflow, etc.). 5. Strong understanding of data structures, algorithms, and system design. 6. Excellent communication and stakeholder management skills. 7. Ability to Inspire, Assist and Govern Technical teams to deliver to commitments Good to Have: 1. Experience deploying models in production environments using REST APIs, containers, or streaming platforms. 2. Knowledge of data privacy, model fairness, and explainability techniques. 3. Contributions to open-source AI/ML projects or publications in AI conferences. Skills – Soft Must Have: 1. Excellent Interpersonal skills 2. Excellent Communication Skills 3. Good Analytical skill 4. Problem Solving Skill Good to Have: 1. Decision Making Skill Nice to Have: 1. CxO interaction skills Knowledge / Certifications Must Have 1. Technical Architecture Good to Have 1. TOGAF Certification Roles & Responsibilities The AI Lead will be a hands-on technical leader responsible for guiding a team of engineers in the design, development, and delivery of specific, critical components of Bhashini 2.0 (e.g., 20+ services like ASR, TTS, OCR, etc and the Products using them, covering 22+ Indian Official languages across hundreds of dialects). You will ensure technical excellence, code quality, and adherence to architectural guidelines within the AI domain, while actively contributing to code development and mentoring team members. 1. Lead the end-to-end lifecycle of AI projects: from research and prototyping to deployment and monitoring. 2. Design and build scalable machine learning and deep learning models using modern frameworks. 3. Architect AI systems integrating cloud services, APIs, and MLOps practices. 4. Collaborate with data engineers, product managers, and domain experts to translate business needs into technical solutions. 5. Mentor and guide junior AI/ML engineers and researchers. 6. Ensure AI models are interpretable, ethical, and robust in production. 7. Conduct code reviews, performance optimizations, and contribute to a high-quality development culture. 8. Stay updated with the latest advancements in AI research, tools, and practices. Experiences Must Have : 1. 5+ years of experience in AI/ML development, with at least 2 years in a technical leadership or AI team lead role. 2. Strong proficiency in Python and familiarity with major AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). 3. Experience in building and deploying machine learning or deep learning models in production environments. 4. Proficient in designing end-to-end ML pipelines including data preprocessing, model training, evaluation, and monitoring. 5. Hands-on experience with REST APIs and integrating ML models into production-grade applications. 6. Solid understanding of AI system architecture, including data engineering, MLOps, and cloud deployment (AWS/GCP/Azure). 7. Exposure to Large Language Models (LLMs), NLP techniques, or Computer Vision pipelines. 8. Working knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker for model lifecycle management. 9. Strong coding, debugging, and optimization skills along with a solid grasp of software design principles and system architecture. 10. Excellent communication and mentoring skills, with a proven ability to lead technical teams and collaborate cross-functionally. Good to Have: 1. Experience with Kubernetes, Docker, and CI/CD pipelines for ML workloads. 2. Familiarity with ethical AI practices, including model fairness, explainability, and data privacy. 3. Knowledge of time-series analysis or reinforcement learning techniques. 4. Prior experience working in agile development environments (Scrum, Kanban). 5. Contributions to research publications, patents, or open-source AI/ML projects. 6. Exposure to prompt engineering or fine-tuning of foundation models (e.g., GPT, BERT, LLaMA). Why Join Us? 1. Be part of a nation-building mission to digitally empower every Indian. 2. Work on cutting-edge AI technologies applied to societal transformation. 3. Collaborate with the best minds across academia, startups, and government. 4. Influence policy, architecture, and impact on population scale.

Ai Engineer |Data Engineer |Machine Learning |Generative Ai |Time Series Forecasting |Data Analysis |Data Visualization |Data Science |Data Analytics |Scikit-Learn |Numpy |Pandas |Tensorflow |Pytorch |Kubernetes |CI/CD |Docker |AWS Sagemaker |Streamlit |Flask |Llmops |Fastapi Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Provident Fund Work Location: In person

Senior AI Engineers Location: Chennai Experience: 5+ Years Job Summary: You will lead the design of AI systems that assess banking health and predict risk trends. The role involves implementing scalable AI workflows and integrating multiple data sources for robust risk analytics and early warning signals. Responsibilities: · Lead implementation of predictive ML models for capital adequacy, liquidity risk, and market indicators. · Use NLP to analyse regulatory filings, contracts, and KYC documents. · Automate stress testing and back-testing using AI. · Manage integration with internal dashboards and resolution management tools. · Mentor junior engineers and contribute to data governance best practices. · Design AI systems that process transactional and behavioral banking data (loans, accounts, transfers, payments). · Create scalable pipelines with MLflow for experiment tracking and reproducibility. · Implement deep learning models (LSTM, CNN, BERT) for time series forecasting and document summarization. · Work with MLOps tools for continuous deployment, CI/CD, and real-time monitoring. Technical Skills: · Languages: Python, SQL, PySpark · ML & Deep Learning: TensorFlow, PyTorch, Prophet, HuggingFace Transformers · Big Data: Apache Spark, Delta Lake, Databricks · MLOps: MLflow, Airflow, Docker, GitHub Actions · Platforms: Azure ML, SageMaker, Databricks · Domain: Basel II/III, banking KPIs, early warning indicators

Job Description ————————————————————————————————————— Manager - Analytics Godrej Consumer Products Limited (GCPL) Mumbai, Maharashtra, India ————————————————————————————————————— Job Title: Manager - Analytics Job Type: Permanent, Full-time Function: Information Technology Business: Godrej Consumer Products Limited Location : Mumbai, Maharashtra, India About Godrej Industries Limited And Associate Companies (GILAC) GILAC is a holding company of the Godrej Group. We have significant interests in consumer goods, real estate, agriculture, chemicals, and financial services through our subsidiary and associate companies, across 18 countries. https://www.godrejindustries.com/ About Godrej Consumer Products Limited (GCPL) Godrej Consumer Products is a leading emerging markets company. As part of the over 125-year young Godrej Group, we are fortunate to have a proud legacy built on the strong values of trust, integrity and respect for others. At the same time, we are growing fast and have exciting, ambitious aspirations. https://www.godrejcp.com/ About The Role As Data and Analytics manager, you will be responsible for managing the design, development, and implementation of Azure data engineering/visualization and data science solutions in GCPL with a specific focus on Media and Marketing. This role requires a blend of hands-on technical expertise, and strong business understanding. The responsibility also includes evaluation and implementation of emerging technologies in Azure data tech stack, data science, AI/ML and drive standardization and implementation of best practices. Your Roles & Responsibilities End-to-End Project Development : Lead the conceptualization, development, and execution of data science projects across various functions and geographies within GCPL, ensuring alignment with business objectives and strategies. Cross-functional Collaboration : Foster effective collaboration with internal stakeholders such as marketing, sales, supply chain, and finance to identify data-driven opportunities, address business challenges, and deliver actionable insights. Vendor Management : Engage with external vendors and partners to leverage specialized expertise, tools, and resources for advanced analytics projects, ensuring quality deliverables within established timelines and budgets. Performance Monitoring : Establish metrics and KPIs to assess the performance and impact of data science initiatives, tracking progress against goals and recommending adjustments as necessary to optimize outcomes. Continuous Improvement : Stay abreast of industry trends, emerging technologies, and best practices in data science, actively seeking opportunities to enhance the company's analytical capabilities and drive innovation. Team Management : Mentor junior data scientists, providing guidance on project execution, technical skills development, and career growth. Position Requirements Qualification & Experience : Educational Background : Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines. Professional Experience : Minimum of 5-8 years of experience in data science, preferably within the FMCG industry or related sectors. Skills Required Must have : Technical Proficiency: Proficient in programming languages such as Python, R, or SQL, with hands-on experience in statistical analysis, machine learning, data visualization, and predictive modeling techniques. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets, extract actionable insights, and translate findings into business recommendations. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization. Business Acumen: Sound understanding of FMCG business dynamics, consumer behavior, market trends, and competitive landscape, coupled with a strategic mindset and commercial awareness. Adaptability: Proven ability to thrive in a fast-paced and dynamic environment, managing multiple priorities and stakeholders while maintaining a focus on delivering high-quality results. Good To Have Deep Learning Frameworks : Exposure to deep learning frameworks such as TensorFlow, PyTorch, or Keras, with application in areas like time-series forecasting. MLops Understanding: Familiarity with MLops (Machine Learning Operations) principles and practices, including model deployment, monitoring, versioning, and automation, to ensure scalability, reliability, and performance of machine learning models in production environments. Cloud for Machine Learning: Experience working with cloud platforms (AWS, GCP, or Azure), especially with ML services like SageMaker, Databricks or Azure ML Studio for scalable and production-grade solutions. AI Productization : Experience in translating data science models into business products or dashboards embedded within operational processes. What’s in it for you? Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We Are Selfish About Your Wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https://www.godrejcareers.com/benefits/ An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It ’ s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

Where Data Does More. Join the Snowflake team. The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The solution engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. The Solution Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company. RESPONSIBILITIES: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing Be an advocate and develop mutual trust with the technical audience on the customer side MINIMUM REQUIREMENTS: Minimum 10-12 years of experience working in customer facing solution engineering (tech pre-sales) role Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Hands-on expertise with SQL Python knowledge would be a bonus! STRONGLY DESIRED: Data Science knowledge and experience University degree in computer science, engineering, mathematics or related fields, or equivalent experience Software development experience with Java, Spark and other scripting languages Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events Sound understanding and experience in the Indian market and technology ecosystem ADDED BONUS FOR: Strong Data Science/AI/ML experience across a variety of platforms Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc) Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services OLAP Data modeling and data architecture experience Experience selling enterprise SaaS software Proven success at enterprise software start-ups Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. Responsibilities This is an opportunity to work with Salesforce’s Tableau Solution Engineering team. The team is made up of data and analytics professionals who work with customers to solve their business problems with Tableau’s world leading analytics platform. We are looking for a Principal Solution Engineer to join our team of data rockstars. This individual will play a pivotal role in supporting our customers’ and our sales teams’ success by providing technical expertise in the field of data, analytics, and artificial intelligence (AI).Responsibilities : Engage customers and collaborate with account teams to understand their needs with respect to how data and analytics can help the customer’s business succeed and transform, and how customers can build a data culture. Demonstrate how Tableau helps customers drive value through tailored demos and guided evaluations. Conduct workshops for customers to understand the platform and drive adoption across multiple groups and stakeholders. Act as a trusted advisor to our customers, guiding them on best practices, and informing their data and analytics strategies. Develop and sustain expert level knowledge of all aspects of the Tableau Platform, including Data Management, Data Visualization, Agentic Analytics, Governance, Architecture, Security, and Scalability across On-Prem, Cloud and SaaS offerings. Lead technical responses to RFPs/RFIs Build and Nurture technical ownership with senior stakeholders across corporate and public sector organizations. Work closely with product management teams to stay updated on our latest developments and provide feedback from the field. Create reusable assets that act as a force-multiplier for the extended teams. Required Qualifications 15 - 18 years of hands-on experience in Analytics, Data Management, Data Warehouse/Lakehouse, or related technologies Solid data and analytics problem solving skills. Strong background in at least one Analytics Platform (Tableau, SAC (SAP), MS Fabric/PBI, Qlik, SAS, OAC/OAS (Oracle), etc.) Excellent listening, communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences Proven ability to build relationships with key stakeholders and customers Post Graduate Degree or equivalent proven experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.) Experience in Financial services is preferrable Preferred Qualifications Familiarity with predictive analytics and AI, especially machine learning. Working knowledge of data platforms such as Snowflake, Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Working knowledge of web technologies such as JavaScript, security protocols, application integration and Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Job Summary: We are seeking Senior AI/ML Engineers with 3 to 7 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities: AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with Langchain, Langgraph, Langfuse, Crew AI, LLM output evaluations, and agentic workflows. Build RAG (Retrieval-Augmented Generation) pipelines and integrate them with traditional applications. Data Science & Machine Learning: Solve complex data science problems and uncover insights using advanced EDA techniques. Implement automated pipelines for data cleaning, preprocessing, and model re-training. Hands-on experience with model experiment tracking and validation techniques. Deploy, track, and monitor models using AWS SageMaker. Strong knowledge of fundamental machine learning concepts, including supervised and unsupervised learning, deep learning, CNNs, and RNNs. Proficiency in working with databases for efficient data storage and retrieval. Experience with data warehouses and data lakes.  Computer Vision: Work on complex computer vision problems, including image classification, object detection, segmentation, and image captioning. Skills & Qualifications: 2-3 years of experience in implementing, deploying, and scaling Generative AI solutions. 3-7 years of experience in NLP, Data Science, Machine Learning, and Computer Vision. Proficiency in Python and ML frameworks such as Langchain, Langfuse, LLAMA Index, Langgraph, Crew AI, and LLM output evaluations. Experience with AWS Bedrock, OpenAI GPT models (GPT-4, GPT-4o, GPT-4o-mini), and LLMs such as Claude, LLaMa, Gemini, and DeepSeek. Experience with vector databases like Pinecone, OpenSearch, FAISS, and Chroma, with a strong understanding of indexing mechanisms. Expertise in forecasting, time series analysis, and predictive analytics. Experience with classification, regression, clustering, and other ML models. Proficiency in SageMaker for model training, evaluation, and deployment. Hands-on experience with ML libraries such as Scikit-learn, XGBoost, LightGBM, and CatBoost. Experience with deep learning frameworks such as PyTorch and TensorFlow. Familiarity with Docker, Uvicorn, FastAPI, and Flask for REST APIs. Proficiency in SQL and NoSQL databases, including PostgreSQL and AWS DynamoDB. Experience with caching technologies such as Redis and Memcached.

Position- Machine Learning Engineer Experience - 3 to 5 years Job Location - Pune / Remote Immediate Joiner Only Role Overview The ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount. Key Experience: 3-5 years Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks (e.g., scikit-learn). Should have used Python in ML domain to build, train and maintain models. Familiarity with AWS services such as Lambda, Glue, CloudWatch, and Bedrock. Experience with container workflows (Docker) and model lifecycle management. Foundational knowledge of observability practices and model deployment fundamentals. Interest or experience in supporting AI systems used by developers or analysts. Strong communication and documentation skills with a collaborative team mindset. Ability to assume ownership of assignments and consistently meet deadlines. Responsibilities : Deploy and maintain ML and GenAI models using AWS services, including SageMaker, Fargate, and Bedrock. Apply prompt engineering techniques to optimize GenAI model performance and reliability. Experience with Retrieval-Augmented Generation (RAG) applications is a plus. Assist in building and maintaining internal model-serving platforms to support development teams. Implement containerized services using Docker and deploy them to AWS infrastructure. Write Infrastructure-as-Code (IaC) using Terraform to automate cloud resource provisioning ( nice to have ). Participate in unit and end-to-end testing of ML pipelines, services, and monitoring workflows. Support model monitoring and health tracking using AWS CloudWatch and internal observability tools. Document internal systems and operational processes to ensure maintainability and reproducibility.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. About ITSM Team IT Service Management (ITSM) is one of the fastest growing products of Atlassian. Through this solution, we are helping technical and non-technical teams centralize and streamline service requests, respond to incidents, collect and maintain knowledge, manage assets and configuration items, and more. Specifically this team within ITSM works on using cutting-edge AI and machine learning algorithms to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving Generative AI into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach. Our AI models are designed to evolve over time through continuous learning making them more robust, accurate, and resilient. Responsibilities What you will do As a Principal Engineer on the ITSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI ( Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input, and communicate results In This Role, You'll Get The Chance To First and foremost, work with a distributed, world-class team shaping the future of AIOps. You will be at the forefront of innovation, shaping the next generation of enAI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, constructing algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward. Routinely tackle complex architectural challenges, spar with other principal engineers to build ML pipelines and models that scale for thousands of customers Develop leadership skills: You'll have the opportunity to mentor junior engineers, guide projects, and partner across engineering teams to take on company-wide initiatives spanning multiple projects. This is an extremely high-visibility role Our tech stack is primarily Python/Java/Kotlin built on AWS. Qualifications On your first day, we’ll expect you to have 10+ years of total experience Fluency in atleast 1 scripting, OOP language Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Familiarity with MLOps and experience with scaling and deploying Machine Learning models It would be great, but not required if you have Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks). Experience with MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Experience with AIOps or related fields like IT automation or incident management. Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). Experience with using LLMs Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Experience Range 6 – 8 years for Tech Lead . 9 - 12 Yrs evaluated for Associate Architect. Work Profile Bhashini 2.0 is India's ambitious initiative to transform its language technology landscape into a self-sustaining, intelligent AI ecosystem. Moving beyond public utility, Bhashini 2.0 will evolve into a comprehensive SaaS marketplace, empowering users with custom language solutions, fostering seamless partnerships, and building a vibrant community, all while bridging the digital divide across diverse Indian languages and dialects. This includes advanced AI models (NMT, ASR, TTS, OCR), a dynamic API marketplace, robust stakeholder engagement, an innovative "Hundi" orchestration engine, next-gen mobile app catering to rural users also, and a sophisticated data management framework. Work Location /Address Location: NCR Address: Express Corporate Park, 1st Floor, Plot no 15, 16, Film City, Sector 16A, Noida, Uttar Pradesh 201301 Work Mode 4-5 days per week at Client office This is a Sr. role and it is expected that one is flexible on this based on how the situation demands. Key Skills Hashtags Technology Lead, Technical Lead, Associate Architect, Technical Architecture, AI/ML, AI Models (Layout Detection, OCR, Translation) NLP, etc Key Attitude / Traits Brings in core values such as; 1. Strategic Mindset: Bring in the Big picture (Why are we doing what we are doing) 2. Start-Up Mindset: Bring in Passion & Energy into the work, with full heart. Do not treat this as a 9 to 5 job. Be outcome/result oriented than activity/effort oriented. A fail-fast approach to achieve progress than be slowed down by perfection. 3. Ownership Mindset: To take end to end Responsibility and Accountability of deliverables. Have no-excuse mindset towards commitments, in spite of constraints and dependencies. Let no personal or team boundaries come in the way of delivering. 4. Growth Mindset: Be open to challenges and learning. Demonstrate resilience in tough times. Skills- Hard Must Have: 1. Ability to Architect and Design AI/ML systems in NLP domain 2. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn. 3. Experience with LLMs, NLP, CV, or time-series modeling. 4. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines (MLflow, Kubeflow, etc.). 5. Strong understanding of data structures, algorithms, and system design. 6. Excellent communication and stakeholder management skills. 7. Ability to Inspire, Assist and Govern Technical teams to deliver to commitments Good to Have: 1. Experience deploying models in production environments using REST APIs, containers, or streaming platforms. 2. Knowledge of data privacy, model fairness, and explainability techniques. 3. Contributions to open-source AI/ML projects or publications in AI conferences. Skills – Soft Must Have: 1. Excellent Interpersonal skills 2. Excellent Communication Skills 3. Good Analytical skill 4. Problem Solving Skill Good to Have: 1. Decision Making Skill Nice to Have: 1. CxO interaction skills Knowledge / Certifications Must Have 1. Technical Architecture Good to Have 1. TOGAF Certification Roles & Responsibilities The AI Lead will be a hands-on technical leader responsible for guiding a team of engineers in the design, development, and delivery of specific, critical components of Bhashini 2.0 (e.g., 20+ services like ASR, TTS, OCR, etc and the Products using them, covering 22+ Indian Official languages across hundreds of dialects). You will ensure technical excellence, code quality, and adherence to architectural guidelines within the AI domain, while actively contributing to code development and mentoring team members. 1. Lead the end-to-end lifecycle of AI projects: from research and prototyping to deployment and monitoring. 2. Design and build scalable machine learning and deep learning models using modern frameworks. 3. Architect AI systems integrating cloud services, APIs, and MLOps practices. 4. Collaborate with data engineers, product managers, and domain experts to translate business needs into technical solutions. 5. Mentor and guide junior AI/ML engineers and researchers. 6. Ensure AI models are interpretable, ethical, and robust in production. 7. Conduct code reviews, performance optimizations, and contribute to a high-quality development culture. 8. Stay updated with the latest advancements in AI research, tools, and practices. Experiences Must Have : 1. 5+ years of experience in AI/ML development, with at least 2 years in a technical leadership or AI team lead role. 2. Strong proficiency in Python and familiarity with major AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). 3. Experience in building and deploying machine learning or deep learning models in production environments. 4. Proficient in designing end-to-end ML pipelines including data preprocessing, model training, evaluation, and monitoring. 5. Hands-on experience with REST APIs and integrating ML models into production-grade applications. 6. Solid understanding of AI system architecture, including data engineering, MLOps, and cloud deployment (AWS/GCP/Azure). 7. Exposure to Large Language Models (LLMs), NLP techniques, or Computer Vision pipelines. 8. Working knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker for model lifecycle management. 9. Strong coding, debugging, and optimization skills along with a solid grasp of software design principles and system architecture. 10. Excellent communication and mentoring skills, with a proven ability to lead technical teams and collaborate cross-functionally. Good to Have: 1. Experience with Kubernetes, Docker, and CI/CD pipelines for ML workloads. 2. Familiarity with ethical AI practices, including model fairness, explainability, and data privacy. 3. Knowledge of time-series analysis or reinforcement learning techniques. 4. Prior experience working in agile development environments (Scrum, Kanban). 5. Contributions to research publications, patents, or open-source AI/ML projects. 6. Exposure to prompt engineering or fine-tuning of foundation models (e.g., GPT, BERT, LLaMA). Why Join Us? 1. Be part of a nation-building mission to digitally empower every Indian. 2. Work on cutting-edge AI technologies applied to societal transformation. 3. Collaborate with the best minds across academia, startups, and government. 4. Influence policy, architecture, and impact on population scale.

Position Title: MLOps Engineer Location: Bangalore(4 days work from office) Job Type: Full-Time Experience Level: 3+ Years Industry:Technology / AI / Data Science Job Summary: We are seeking a highly skilled and motivated MLOps Engineer to join our team. The ideal candidate will be responsible for managing the deployment, monitoring, and optimization of machine learning models in production environments. You will work closely with data scientists, software engineers, and DevOps teams to ensure seamless integration and scalability of AI/ML solutions. Key Responsibilities: - Design, develop, and maintain CI/CD pipelines for ML models. - Collaborate with Data Scientists to build scalable model deployment architectures. - Automate data and model validation, retraining, and monitoring pipelines. - Ensure reliability, security, and scalability of ML infrastructure. - Monitor model performance and data drift in production environments. - Integrate ML models with APIs, web services, and production systems. - Implement best practices for version control and reproducibility of ML workflows. - Manage containerized ML applications using Docker and Kubernetes. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Proven experience of 3-7 years in MLOps, DevOps, or ML Engineering roles. - Proficiency in Python, Bash, and scripting languages. - Hands-on experience with ML platforms (e.g., MLflow, Kubeflow, SageMaker). - Familiarity with cloud platforms (AWS, Azure, GCP). - Experience with CI/CD tools (e.g., Jenkins, GitHub Actions). - Strong understanding of ML model lifecycle and deployment challenges. - Excellent problem-solving and communication skills. Preferred Skills: - Experience with infrastructure-as-code tools (e.g., Terraform). - Knowledge of data engineering and ETL pipelines. - Exposure to monitoring tools like Prometheus, Grafana Show more Show less

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10295_1 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

Job Title : AI/ML Engineer Experience : 4 to 7 Years Location : Chennai (Hybrid/On-site) Employment Type : Full-time Notice Period : Immediate to 30 days preferred Job Summary We are seeking a highly skilled and motivated AI/ML Engineer to join our growing team in Chennai. The ideal candidate will have strong experience in building and deploying machine learning models and working with large datasets in real-world production environments. You should be comfortable collaborating with data scientists, data engineers, and software developers. Key Responsibilities Design, develop, and deploy scalable and efficient machine learning models and AI solutions. Perform data wrangling, preprocessing, feature engineering, and exploratory data analysis (EDA). Train and evaluate models using state-of-the-art ML/DL algorithms. Collaborate with product and engineering teams to integrate models into applications. Optimize and tune models for performance and accuracy. Conduct A/B testing and model validation techniques. Stay updated with the latest research and advancements in AI/ML technologies. Document workflows, experiments, and models for reproducibility and auditability. Participate in code reviews, architecture discussions, and sprint planning. Mandatory Skills Machine Learning & Deep Learning Supervised, unsupervised, and reinforcement learning techniques Model evaluation and selection methods Hyperparameter tuning techniques (e.g., Grid Search, Bayesian optimization) Familiarity with model explainability tools (e.g., SHAP, LIME) Programming Languages Python (advanced proficiency – must-have) Experience in writing modular, scalable, and clean code Familiar with object-oriented programming ML/DL Frameworks & Libraries Scikit-learn , TensorFlow , PyTorch , Keras XGBoost , LightGBM Pandas , NumPy , Matplotlib , Seaborn Data Engineering & MLOps (Good to have) ETL Pipelines , Airflow , MLflow , DVC Model packaging and deployment using Docker, Flask/FastAPI CI/CD pipelines for ML models Cloud-based ML deployment (AWS Sagemaker, GCP AI Platform, Azure ML) Data Handling & Querying Strong knowledge in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Data preprocessing, cleaning, and transformation techniques Working with structured and unstructured data (text, images, audio) NLP/Computer Vision (Nice to have) Knowledge in NLP libraries like spaCy , NLTK , Transformers (HuggingFace) Experience with OpenCV , YOLO , CNNs for image-based tasks Educational Qualification Bachelor’s or Master’s degree in Computer Science , Data Science , Artificial Intelligence , or a related field. Relevant certifications in AI/ML are a plus (e.g., Google AI, Microsoft AI Engineer Associate, etc.) Soft Skills Excellent communication and presentation skills Strong problem-solving and critical-thinking abilities Ability to work independently and within a team Adaptability and eagerness to learn emerging technologies

Position Summary: As the Manager – AI , you will spearhead the development and deployment of cutting-edge AI solutions, leading a high-performing team of AI/ML engineers, data scientists, and software developers. This role combines strategic vision with deep technical acumen, focusing on Agentic AI , Generative AI , LLMs , and NLP to create scalable, production-grade solutions for SaaS environments. You'll be responsible for shaping the company’s AI roadmap, driving project execution end-to-end, and ensuring seamless cross-functional collaboration. If you're passionate about solving complex problems through AI, deploying models at scale on cloud platforms like AWS/GCP, and mentoring the next generation of AI talent—this role is for you. Key Responsibilities: AI Strategy & Vision Co-develop the organization’s AI strategy alongside executive leadership. Identify key product and business areas where AI can drive automation, intelligence, or differentiation. Drive the adoption of Agentic AI , LLMs , and multi-modal models into core products. Team Leadership & People Management Lead, grow, and mentor a team of AI/ML engineers and data scientists. Cultivate a high-performance, innovation-driven, and collaborative team culture. Set clear OKRs and continuously assess performance metrics. Project Management Own the AI/ML project lifecycle—scope, timelines, resource allocation, risk management. Ensure AI initiatives meet delivery deadlines while maintaining high quality and innovation standards. Drive Agile best practices to support iterative development and rapid deployment. Technical Ownership Stay abreast of advances in LLMs (OpenAI, Mistral, Claude, etc.) , prompt engineering , fine-tuning , and RLHF . Provide architectural direction on ML pipelines, vector stores, inference endpoints, and cloud-native deployments. Conduct code and model reviews; contribute to complex problem-solving and experimentation. Cross-functional Collaboration Partner closely with product managers, frontend/backend engineers, and UX to integrate AI capabilities into end-user experiences. Ensure AI models are production-ready, ethically sound, and aligned with user needs. Quality Assurance & Governance Implement rigorous MLOps practices including CI/CD pipelines, automated testing, monitoring, and model versioning. Ensure bias mitigation, explainability, and compliance across all AI solutions. Resource & Budget Management Manage budgets for team tools, infrastructure, and hiring needs. Lead recruitment and onboarding of new AI team members. Documentation & Reporting Maintain robust documentation for AI systems, architectures, and experiments. Provide timely reporting and KPIs to senior leadership on project status and outcomes. Qualifications: Master’s or Bachelor’s in Computer Science, Artificial Intelligence, Data Science, or a related field 10+ years of total experience, with 3–5 years in leadership roles. Proven track record delivering production-grade AI/ML solutions in fast-paced environments. Strong hands-on experience in: Programming: Python, PyTorch, TensorFlow, LangChain, Hugging Face ML/LLM Ops: MLflow, Docker, FastAPI, Kubernetes Cloud: AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery) Solid understanding of NLP, RAG, embeddings, vector databases (Pinecone, FAISS), and Transformer-based architectures. Excellent communication, stakeholder management, and presentation skills. Experience in Agile/Scrum methodologies and working in cross-functional product teams. Core Competencies: Leadership & Mentorship – Inspire and guide a team of highly skilled AI professionals. Strategic Thinking – Define and align AI initiatives with business goals. Project Execution – Drive large-scale AI/ML initiatives from ideation to production. Technical Depth – Hands-on proficiency in AI/ML, NLP, LLMs, and GenAI frameworks. Cloud-native Development – Experience deploying scalable APIs and models on AWS/GCP. Stakeholder Collaboration – Partner effectively with engineering, product, and design teams.

Immediate joiner or 15 days Notice Gen AI Lead/Developer/Engineer Pan India or Chennai Required Experience: 10+ years of experience in data science, machine learning, or AI fields 5+ years in leadership roles related to AI governance, strategy, or innovation Proven track record of establishing AI governance frameworks and standards Experience collaborating with and influencing distributed AI teams Strong technical background in modern AI/ML technologies and methodologies Experience with large language models (LLMs) and generative AI applications Technical Expertise Requirements: Deep expertise in modern AI frameworks (PyTorch, TensorFlow, JAX) and their enterprise applications Hands-on experience with large language models (e.g., GPT, Claude, Llama) and prompt engineering Proficiency in implementing Retrieval-Augmented Generation (RAG) architectures Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) and embeddings models Knowledge of MLOps practices and tools for model governance, monitoring, and lifecycle management Expertise in evaluating and governing foundation models for specific business domains Experience implementing AI governance tools and frameworks for responsible AI Understanding of AI infrastructure requirements, including GPU/TPU optimization Experience with AWS AI services (Bedrock, SageMaker, etc.) or other cloud AI platforms Knowledge of AI evaluation metrics and techniques for measuring model performance Experience with multimodal AI systems (text, image, audio) and their applications Proficiency in Python and related data science libraries (pandas, scikit-learn, etc.) Understanding of data engineering principles for AI workloads Experience with containerization and orchestration (Docker, Kubernetes) for AI deployments

About Us: At Quickplay, we believe in transparency, fairness, and collaboration while we passionately work on some of the toughest use cases in OTT video, focused on massive scale and resilience. If you aspire to be part of a high-performing, learning-oriented, and caring culture--you have landed on the right company. Our team is looking for an energetic, results-driven B2B marketing professional with a unique blend of product marketing, channel marketing, marketing communications and analytical acumen to develop and implement marketing initiatives in the video platform industry. About The Role-- As a Principal Software Engineer - Data, you will play a role as a hands-on technical leader and a key communicator with stakeholders as part of the Data Products team. You will contribute directly to the design and development of enterprise-grade data systems while also acting as a bridge between engineering teams and business partners. Primarily Focused on: Driving development efforts by contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components. Owning the communication of project deliverables, timelines, and risks to internal and external stakeholders, ensuring alignment at every step. Understanding customer needs and translating them into technical solutions, partnering closely with product, analytics, and engineering teams to deliver end-to-end value. Designing and delivering robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives. Leading the technical execution of key projects, ensuring progress is clearly communicated and roadblocks are proactively addressed. Partnering cross-functionally to co-develop architectural roadmaps, implementation plans, and go-live strategies that meet business requirements. Participating in stakeholder reviews and providing clear, actionable updates on technical progress, dependencies, and constraints. Guide platform-level optimization, including cost efficiency, performance, reliability, and maintainability. Set best practices for data governance, lineage, quality, and security in a distributed data environment. Mentor engineers, fostering a strong technical culture and continuous learning environment. Success in this role requires: Proven ability to communicate effectively with both technical and non-technical audiences, including customers, executives, and cross-functional teams. Experience tracking and clearly reporting project progress, milestones, and blockers to internal stakeholders and external partners. Technical depth to personally contribute to codebases and architecture discussions, while helping set standards across teams. A proactive and collaborative mindset focused on transparency, stakeholder engagement, and shared ownership of outcomes. Commitment to quality, scalability, and maintainability of systems through thoughtful design and testing. About You-- Experience & Technical Requirements: 8-12 years of development experience in data engineering, including direct contribution to 24x7 production systems. Advanced skills in Python and/or Golang, SQL, and current cloud data platforms (e.g., Databricks, BigQuery, Snowflake, or other). Strong experience in communicating complex project plans and deliverables to both technical and business audiences. Track record of developing and operating scalable data pipelines, APIs, and data platform components in real-world environments. Experience working directly with external stakeholders or customers, either in consulting, enterprise data delivery, or technical leadership roles. Deep understanding of batch and real-time data architectures, data modeling, and data warehousing. Hands-on experience with cloud-native ecosystems (GCP, AWS, or Azure), CI/CD pipelines, and infrastructure as code. Experience with a broad range of cloud technologies, including: Containerization & deployment: Docker, Kubernetes, Cloud Run, Cloud Functions, GKE, ECS Data integration and orchestration: n8n, Cloud Scheduler, Airflow, Cloud Composer, Step Functions, dbt, Dataform Messaging: Kafka, Pub/Sub Analytics & BI: Looker, Tableau AI/ML: Vertex AI, SageMaker, MLflow Cloud storage integration: S3, GCS Proficiency in setting up data observability, quality frameworks, and governance controls in distributed systems. Strong ability to translate ambiguous business needs into scoped, deliverable projects. Demonstrated success in stakeholder engagement, influencing outcomes, and building long-term trust. Technical leadership in prior roles with clear individual contributions to architecture, development, and delivery. Mentoring experience and a passion for helping others grow technically and professionally. Highly Favorable Skills: Exceptional communication skills with the ability to articulate technical ideas and project updates clearly to both internal teams and customer stakeholders. Ability to distill complex data and architecture challenges into simple, actionable plans that align with stakeholder goals. Experience in client-facing roles, technical consulting, or enterprise delivery where direct communication with business or product partners was essential. A strong personal track record of hands-on coding and technical design, including ownership of critical systems and services. Demonstrated ability to build trust and alignment across teams, especially in fast-moving, high-stakes environments. Familiarity with cross-functional planning, scoping, and milestone delivery in agile or hybrid development environments. A commitment to mentoring and knowledge sharing, helping level up peers while continuing to grow as an individual contributor.

An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives. Come join the excellence! Overview Transaction Network Services (TNS), a Koch Industries company is seeking a talented and motivated data scientist to work within our AI Labs, India. As a Data Scientist, you will play a crucial role in analyzing complex datasets, building statistical and deep learning models, and implementing machine learning solutions. You will work closely with cross-functional teams to extract insights from data and contribute to data-driven decision-making processes. Responsibilities Primary Responsibilities: Utilize expertise in statistical analysis, machine learning, and deep learning techniques to solve complex international business problems. Develop, train, and deploy predictive models using machine learning frameworks and tools. Perform data preprocessing, feature engineering, and exploratory data analysis to identify patterns and trends. Collaborate with domain experts and stakeholders to understand business requirements and translate them into analytical solutions. Apply cloud engineering principles to design and deploy scalable and efficient AI solutions in the cloud environment. Collaborate with software engineers to integrate machine learning models into production systems. Implement MLOps practices to automate model training, deployment, and monitoring processes. Communicate complex findings and insights to both technical and non-technical stakeholders through clear and concise reports and visualizations. Qualifications Education/Experience: Advanced degree in computer science, machine learning, statistical methods, or related field. 0-1 years of industry experience in a data science role. Proficiency in Python programming language and experience with popular data science and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge of MLOps practices and experience with tools such as Docker, AWS EMR, or AWS Sagemaker. Understanding of data preprocessing techniques, feature engineering, and exploratory data analysis. Demonstrated ability to work with large data sources with a focus on data privacy and security. Solid foundation in software engineering principles. Background in software development process and tools with a focus on Jira. Experienced in working in a geographically distributed team environment. Experience working for leadership located in other countries and cultures as well as large time zone shifts. Communications: Excellent communication & presentation skills. Strong teamwork, communication skills, passion, creativity, productivity & learning agility. Strong written and verbal communications skills working with internationally based colleagues. Ability to articulate and interpret analytical results from developed programs. Qualifications 0 - 1 years of experience If you are passionate about technology, love personal growth and opportunity, come see what TNS is all about! TNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Profile Description We’re seeking someone to join our team as AI Solution Engineering Specialist to work with GenAI application owners to adopt GenAI platform capabilities and develop patterns and best practices to enable GenAI application adoption at scale. The ideal candidate will have strong knowledge and experience on deep learning, contemporary model architectures and a strong drive to solve real-world problems with AI techniques. They will have hands-on experience developing GenAI applications and can leverage their expertise to enable firmwide developers to adopt AI techniques at scale through documentation, consultation, collaborative proof of concepts and sample code development. Enterprise_Technology Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions. Architecture & Modernization Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities Software Engineering This is a position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Build proof of concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale Develop prototypes to demonstrate model capabilities, advanced usage patterns. Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel. Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience This is a customer-facing role and excellent soft communications skills are mandatory. Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. What You’ll Bring To The Role At least 5 years' relevant experience would generally be expected to find the skills required for this role 5+ years of experience in software engineering, design, and development Experience developing GenAI applications Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc. Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, data bricks. Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub. Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills. Strong desire and ability to influence development teams and help them adopt AI. Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations Bachelor’s or a master’s degree in computer science or related field, or equivalent job experience Nice to have Experience working with application development teams to enable them to build AI based applications. Ability to create code samples to be shared with application teams. Experience working with cloud providers, preferably Azure, but also AWS, GCP Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI Experience working in a large, regulated industry such as Financial Services, Insurance etc. Experience building AI applications, preferably Generative AI and LLM based apps. Experience working with Generative AI development, embeddings, fine tuning of Generative AI models. Understanding of Model Ops/ ML Ops/ LLM Ops What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. This is an opportunity to work with Salesforce’s Tableau Solution Engineering (SE) team. The Tableau SE team consists of passionate data and analytics professionals who partner with customers to solve business challenges using Tableau’s market-leading analytics platform. We are looking for a Lead Solution Engineer to join our team of data rockstars. In this role, you will be instrumental in supporting our customers and sales teams by delivering deep technical expertise in Data, Analytics, and Artificial Intelligence (AI). Responsibilities Engage with customers and collaborate with account teams to understand business needs, identify analytics opportunities, and promote a strong data culture. Deliver compelling, customised demonstrations and guided evaluations that highlight the value Tableau brings to each customer. Lead workshops that deepen customer understanding of Tableau and drive adoption across multiple stakeholders. Act as a trusted advisor by providing strategic guidance on analytics best practices and shaping customers’ data and AI strategies. Build and maintain expert-level knowledge of the full Tableau Platform—including Data Management, Visualisation, Agentic Analytics, Governance, Architecture, Security, and Scalability—across on-premise, cloud, and SaaS environments. Respond to RFPs and RFIs with clear, technically sound answers tailored to customer requirements. Establish and foster technical relationships with senior stakeholders in large and complex organisations. Collaborate with product management teams to stay current on new features and provide valuable field feedback. Create and maintain reusable technical assets and resources that support scale and knowledge sharing across the broader team. Required Qualifications 11–14 years of professional experience in the Analytics space, either as a SME, Consultant, or Solutions expert for enterprise analytics platforms. Experience with architecting analytics tools (such as Tableau, Power BI, SAC, Qlik, etc.) is highly valued. Demonstrated ability to engage in value-based conversations by understanding business drivers and mapping analytics solutions to real-world industry and functional challenges. Proven success in solution selling, with the ability to craft compelling narratives and use cases that resonate with both business and technical stakeholders. Strong analytical problem-solving skills, paired with the ability to contextualise insights for business impact. Excellent communication, storytelling, and presentation skills, with the ability to simplify complex technical topics for non-technical audiences. Experience building relationships with senior stakeholders and influencing decision-making through strategic guidance. Postgraduate degree or equivalent practical experience. Preferred Qualifications Familiarity with AI/ML concepts and predictive analytics. Working knowledge of modern data platforms (e.g., Snowflake, Databricks) and ML platforms (e.g., Azure ML, Amazon SageMaker, Google Vertex AI). Hands-on experience with scripting or programming tools such as R or Python. Understanding of web technologies (e.g., JavaScript), security protocols, and application integration. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Job Title: Machine Learning Engineer Experience Level: 5 - 8 Years Location: Chennai About the Role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our innovative team within the U.S. healthcare payer sector. You will be instrumental in designing, developing, and deploying cutting-edge machine learning models that address critical business challenges, improve operational efficiency, and enhance member outcomes. This role demands a strong understanding of ML principles, robust software engineering practices, and familiarity with the unique complexities of healthcare data. Responsibilities: Design, develop, and implement scalable machine learning models and algorithms to solve complex problems related to claims processing, fraud detection, risk stratification, member engagement, and predictive analytics within the payer landscape. Collaborate closely with data scientists, product managers, and other engineering teams to translate business requirements into technical specifications and deliver end-to-end ML solutions. Develop and optimize ML model training pipelines, ensuring data quality, feature engineering, and efficient model iteration. Conduct rigorous model evaluation, hyperparameter tuning, and performance optimization using statistical analysis and best practices. Integrate ML models into existing applications and systems, ensuring seamless deployment and operation. Write clean, well-documented, and production-ready code, adhering to high software engineering standards. Participate in code reviews, contribute to architectural discussions, and mentor junior engineers. Stay abreast of the latest advancements in machine learning, healthcare technology, and industry best practices, actively proposing innovative solutions. Ensure all ML solutions comply with relevant healthcare regulations and data privacy standards (e.g., HIPAA). Required Technical Skills: Programming Language: Expert proficiency in Python. Machine Learning Libraries: Strong experience with PyTorch and scikit-learn. Version Control: Proficient with Git and GitHub. Testing: Solid understanding and experience with Python unittest framework and Pytest for unit, integration, and API testing. Deployment: Hands-on experience with Dockerized deployment on AWS or Azure cloud platforms. CI/CD: Experience with CI/CD pipelines using AWS CodePipeline or similar alternatives (e.g., Jenkins, GitLab CI). Cloud Platforms: Experience with AWS or Azure services relevant to ML workloads (e.g., Sagemaker, EC2, S3, Azure ML, Azure Functions). If anyone Interested, please share your resume to vidya@neoware.ai

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Requirement gathering, Effort estimation. and Quality deliver on time 7 - 10 years of eperience in Software development in Python, and C Exposure of AWS services, S3 buckets, SageMaker ,and verious services Troubleshoot, and optimize solutions for performance and cost You will be reporting to a Senior Manager You are required to WFO 2 days a week from Hyderabad as its a Hybrid work culture Requirements Strong Python and C programming skills Hands-on experience with AWS services (Lambda, Sagemaker,EC2, S3, RDS, etc.) Knowledge of CI/CD pipelines and deployment automation Preferred Building the model using Python and AWS sage maker services GenAI Qualifications Qualifications B.Tech in computer science Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions. Our goal is to 'Deliver in time-every time'. For more details visit our website: www.bebotechnologies.com Let's have a 360 tour of our bebo premises by clicking on below link: https://www.youtube.com/watch?v=S1Bgm07dPmMKey Skill Set Required: 5–7 years of software development experience, with 3+ years focused on building ML systems. Advanced programming skills in Python; working knowledge of Java, Scala, or C++ for backend services. Proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn. Experience deploying ML solutions in cloud environments (AWS, GCP, Azure) using tools like SageMaker, Vertex AI, or Databricks. Strong grasp of distributed systems, CI/CD for ML, containerization (Docker/K8s), and serving frameworks. Deep understanding of algorithms, system design, and data pipelines. Experience with MLOps platforms (MLflow, Kubeflow, TFX) and feature stores. Familiarity with LLMs, RAG architectures, or multimodal AI. Experience with real-time data and streaming systems (Kafka, Flink, Spark Streaming). Exposure to governance/compliance in regulated industries (e.g., healthcare, finance). Published research, patents, or contributions to open-source ML tools is a strong plus