Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications , using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities , using mainly P ython Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8 + years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch , XGBoost ). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. < Back to search results BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 8,047,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

FEQ326R387 Databricks is looking for a motivated Sr. Strategy and Operations Manager to join our Field Engineering team that helps define Go-To-Market (GTM) strategy, provides strategic analyses and instills operational thoughtfulness to our successful & fast-growing GTM business. You will use data and qualitative information to help our Sales and Field Engineering Leadership manage the business. You will support essential aspects of our GTM design and annual planning process. You will help build our data and analytics foundation including executive reporting, health of business reviews, dashboards, and Indicators. You will work with our Field Engineering, Sales, Finance, Data, Marketing, Order Ops, and other GTM teams. You will report to the Sr. Director, Strategy and Ops. The impact you will have: Establish the GTM Strategy and build processes in place to ensure we have the right investments at the right time Be a trusted partner to the GTM Leadership by defining, tracking, and implementing goals, programs and strategies that scale Guide annual GTM planning process (FY and long-range modeling, investment Return on investment analysis, HC planning, capacity setting) Design and manage the headcount forecasting process (FY, long-range, and quarterly modeling) Lead executive analyses, strategies, and deliverables (e.g., board materials, QBR) Provide visibility and performance tracking to the business (Operational councils, Ops reviews, rep. efficiency and productivity Indicators, dashboards) Help build our data and reporting foundation Improve operational efficiency by automating and improving processes, and dashboards that scale What we look for: 7+ years of strategy & operations experience (Investment banking, strategy consulting, FP&A, business operations, Enterprise/Mid-Market SaaS experience) Ability and passion to analyze, set priorities, and solve complex problems Propensity to summarize complex concepts and data and present clear information to executives, teams, and internal customers Data expert: Querying and scoping (SQL, Databricks, BigQuery), analysis (Excel), summarizing (pivot tables, charts, slides, written explanation), reporting (dashboards, repositories) Process expert: Envision E2E process change to solve our needs, drive agreement, document requirements, guide execution in partnership with IT, perform UAT, and report on progress Proficient in BI and sales tools (eg: Salesforce, Tableau etc.) Passion for building and working in a high performance global team A fondness for customer service and patience About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Description We are seeking an AI/ML Engineer - I to design, develop, and deploy machine learning models and AI solutions. This role involves working with modern ML frameworks, large language models (LLMs), and building scalable AI applications. Key Responsibilities Develop and deploy machine learning models using TensorFlow, PyTorch, and Scikit-Learn Build end-to-end ML pipelines from data preprocessing to model serving Work with LLMs, implement RAG systems, and develop AI-driven applications Create REST APIs using FastAPI or Flask and deploy using Docker and Kubernetes Process and analyze large datasets using SQL, Pandas, and Spark Implement MLOps practices such as model monitoring, logging, and versioning Required Skills Programming & Development Python – Strong proficiency, including OOP principles Software Architecture – Familiarity with frontend/backend components, microservices, and API design Version Control – Proficient with Git and platforms like GitHub or GitLab ML/AI Technologies ML Frameworks – TensorFlow, PyTorch, Scikit-Learn, XGBoost LLM Expertise – Understanding of transformer architectures, fine-tuning, and prompt engineering Vector Databases – Experience with Pinecone, Weaviate, or Chroma for embeddings and similarity search Data & Infrastructure Data Handling – Pandas, NumPy, SQL, Apache Spark Cloud Platforms – Experience with AWS, GCP, or Azure Deployment – Docker, Kubernetes, FastAPI, Flask, REST APIs Mathematical Foundation Solid understanding of linear algebra, statistics, and calculus as applied to ML algorithms Soft Skills Strong problem-solving abilities, clear technical communication, and collaboration across teams Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, or a related field Approximately 1 year of experience in ML/AI development Familiarity with MLOps tools like MLflow or Weights & Biases Knowledge of computer vision and/or NLP applications Additional Technical Areas Understanding of data privacy and security best practices Experience with streaming data processing tools such as Kafka or Apache Beam Educational Qualifications Bachelor’s degree in B.Tech/B.E Job Types: Full-time, Permanent Pay: ₹477,103.79 - ₹507,202.10 per year Benefits: Provident Fund Schedule: Monday to Friday Supplemental Pay: Yearly bonus Experience: AI Development : 1 year (Preferred) ML Engineer : 1 year (Preferred) Work Location: In person

As an AI Engineer, you will use modern data architecture, algorithms, and processes to help our customers meet key business objectives. In this role, you may create, review, and optimise algorithms and processes for our customers in the 0-1 and 1-n journey. Responsibilities: Architect: Choose the right tools, frameworks, and cloud services to meet business goals. Educate: Advise and educate customers on how to use different data engineering, AI/ML algorithms, strategies, and processes from the many options available. Build: Build a data pipeline that processes, stores, integrates, and analyzes large volumes of data in record time. Create visualisations and insights from the data in order to take informed and data-backed business decisions. Build or leverage AI/ML algorithms to solve real business problems. Communicate: Proactively communicate with your team. Raise blockers, brainstorm solutions, and seek early feedback. Review: Participate in peer reviews to ensure quality deliverables. Tests, Monitoring, and Observability: Write test suites and build automated CI and CD pipelines to deliver more releases and reduce manual effort. Create automated mechanisms to evaluate models with changing variable conditions. Bake in observability and monitoring to ensure outputs are in line with expectations. Learn: Learn from the practices followed by other teams and evangelize your learnings. Showcase: Share your learnings on internal and customer projects via articles, case studies, books, and webinars. Requirements: Full Stack Development is a must. Experience with relevant frontend, backend frameworks like React, Next, Node/golang/Python is a must. Experience with cloud providers like AWS/GCP is a must. Proficiency in designing, deploying, fine-tuning, and evaluating LLMs (including RAG and vectorDB integrations) with built-in observability and monitoring. Hands-on experience with AI/MLOps workflows and tools (e. g., MLflow, Kubeflow). Background in multi-agent orchestration and multimodal AI systems. Experience creating AI workflows using orchestration platforms (e. g., n8n, relay.app ) and leveraging a variety of AI tools and plugins (e. g., Byword, Exa, Clay). Strong Python expertise with two or more libraries/frameworks (e. g., scikitlearn, TensorFlow, PyTorch, Keras, NLTK/SpaCy, Hugging Face). Proven track record of optimizing models and measuring their business impact (performance metrics and ROI). Resilience and adaptability in ambiguous, fast-moving environments. Ability to mentor and coach colleagues when needed. Job Types: Full-time, Permanent Pay: Up to ₹2,200,000.00 per year Schedule: Monday to Friday Experience: Total Work: 2 years (Required) Full-stack development: 1 year (Preferred) Work Location: In person

Job Title: AI/ML Engineer Experience Required: 3–4 Years Location: Indore-Onsite Department: Artificial Intelligence / Machine Learning Reports To: CTO / Head of AI About the role: We are seeking a highly skilled and innovative AI/ML Engineer with 3–4 years of hands-on experience in building and deploying AI-powered solutions. The ideal candidate should have a strong foundation in industrial automation , computer vision , LLM-based applications , and be proficient in modern AI tools such as LangChain , LangGraph , Vision Transformers , and AWS SageMaker MLOps . Experience in multi-agent chat systems and RAG architectures is a plus. Key Responsibilities: Design, train, and deploy ML models for industrial automation using OpenCV and deep learning. Develop multi-agent chat applications with LLMs, React-based agents, and contextual memory. Implement Vision Transformers (ViTs) for advanced computer vision tasks. Build intelligent conversational systems using LangChain , LangGraph , RAG , and vector databases. Fine-tune pre-trained LLMs for specific enterprise applications. Collaborate with frontend teams to integrate React-based UIs with AI backends. Deploy and manage AI solutions on AWS (SageMaker, Lambda, S3, EC2) . Maintain performance, scalability, and reliability in production-grade AI systems. Required Skills: 3–4 years of AI/ML engineering experience with a focus on real-world applications. Strong command of Python , and libraries like PyTorch , TensorFlow , Scikit-learn . In-depth knowledge of LLMs (e.g., GPT, Claude, LLaMA), prompt engineering , and fine-tuning . Proficiency in LangChain , LangGraph , and RAG-based architectures . Experience with Vision Transformers , YOLO , Detectron2 , and related CV tools. Ability to build and connect intelligent UIs using React + backend AI systems . Hands-on experience with AWS services (SageMaker, Lambda, EC2, S3). Familiarity with CI/CD workflows for ML models and production deployments. Preferred Qualifications: Exposure to edge AI , NVIDIA Jetson , or industrial IoT integrations . Experience building AI-powered chatbots with memory and tool integrations . Working knowledge of Docker , MLflow , or DVC for model versioning and containerization. Contributions to open-source AI/ML projects or research publications. Send your applications to vishal.bhat@moreyeahs.com or Contact - + 91-9644334475 Show more Show less

We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2-6 months, or freelancing Be a part of Elite Community of professionals who can solve complex AI challenges Responsibilities: Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes) Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking Required Skills: Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka) Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure) Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices Nice to Have: Experience with A/B testing, Bayesian optimization, and hyperparameter tuning Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

CSQ226R150 As a Manager for the Global Technical Services team, you will lead a high-performing team of Solution Engineers dedicated to supporting our customers across the Asia Pacific region. You will partner closely with the Asia Pacific Sales and Field Engineering organization to deliver outstanding technical services that drive customer satisfaction, support business growth, and ensure operational efficiency. You will report to the Area Vice President, Global Technical Services. The Impact You Will Have With Us Manage hiring and building the Global Technical Services team in Asia Pacific, thus scaling the organization and driving efficiency. Build a motivated collaborative culture within a hyper-growth team to embody and promote Databrick's customer-obsessed, teamwork and diverse culture. Manage the distribution and allocation of work across the team. Build partnerships with cross functional stakeholders across Field Engineering and Sales to position services that drive customer growth and product adoption. Conduct operational reviews of the team’s deliverables to ensure alignment with strategic priorities and outcomes. What We Look For 12+ years of relevant industry experience A minimum of 5-6 years of client facing experience in Cloud and/or Data/ AI space.3+ years of experience leading technical teams, in a technology or consulting organization. Have experience scaling and mentoring field or technical teams from scratch at hyper-growth speed. Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models. Great at instituting processes for technical field members to lead efficiency. Technical background either in Data & AI or Cloud technologies. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Why Join? Above market-standard compensation Contract-based or freelance opportunities (212 months) Work with industry leaders solving real AI challenges Flexible work locations Remote | Onsite | Hyderabad/Bangalore Your Role: Architect and optimize ML infrastructure with Kubeflow, MLflow, SageMaker Pipelines Build CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI/CD) Automate ML workflows (feature engineering, retraining, deployment) Scale ML models with Docker, Kubernetes, Airflow Ensure model observability, security, and cost optimization in cloud (AWS/GCP/Azure) Must-Have Skills: Proficiency in Python, TensorFlow, PyTorch, CI/CD pipelines Hands-on experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Expertise in monitoring tools (MLflow, Prometheus, Grafana) Knowledge of distributed data processing (Spark, Kafka) (Bonus: Experience in A/B testing, canary deployments, serverless ML)

P-995 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first Engineering Managers in the Software Engineering team at Databricks India , you will work with your team to build infrastructure and products for the Databricks platform at scale . We have multiple teams working on different domains. Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Hire great engineers to build an outstanding team. Support engineers in their career development by providing clear feedback and develop engineering leaders. Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). Work with engineering and product leadership to build a long-term roadmap. Coordinate execution and collaborate across teams to unblock cross-cutting projects. What We Look For 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up Extensive experience managing a team of strong software engineers Partner with PM, Sales, and Customers to develop innovative features & products. BS (or higher) in Computer Science, or a related field. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Greetings from TCS!! TCS is Hiring for Data Architect Interview Mode: Virtual Required Experience: 8-18 years Work location: PAN INDIA Data Architect Technical Architect with experience in designing data platforms, experience in one of the major platforms such as snowflake, data bricks, Azure ML, AWS data platforms etc., Hands on Experience in ADF, HDInsight, Azure SQL, Pyspark, python, MS Fabric, data mesh Good to have - Spark SQL, Spark Streaming, Kafka Hands on exp in Databricks on AWS, Apache Spark, AWS S3 (Data Lake), AWS Glue, AWS Redshift / Athena Good To Have - AWS Lambda, Python, AWS CI/CD, Kafka MLflow, TensorFlow, or PyTorch, Airflow, CloudWatch If interested kindly send your updated CV and below mentioned details through E-mail: srishti.g2@tcs.com Name: E-mail ID: Contact Number: Highest qualification: Preferred Location: Highest qualification university: Current organization: Total, years of experience: Relevant years of experience: Any gap: Mention-No: of months/years (career/ education): If any then reason for gap: Is it rebegin: Previous organization name: Current CTC: Expected CTC: Notice Period: Have you worked with TCS before (Permanent / Contract ) : Show more Show less

AI Engineer Location: Pune: Hybrid Experience: 5-8 years (NEED STRONG EXPERIENCE ON AGENTIC AI) Position Summary: As a member of the AI team, you will be driving Agentic AI and Generative AI integration across all business units. You will drive AI development and integration across the organization, directly impacting the company's global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients. Responsibilities and Duties: Strategic Leadership (10%): Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives. Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices. Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements. Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions Technical Leadership (40% ): Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML. Utilize Python and relevant data science libraries, leveraging MLflow. Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices. Assist in development and documentation of standards for ethical and regulatory-compliant AI usage. Stay current with AI advancements, contributing to the team's knowledge and expertise. Perform hands-on data wrangling and AI model development Operational Leadership (50%): Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling. Participate in Agile development processes (Scrum and Kanban). Ensure compliance with regulatory and ethical AI standards. Required Abilities and Skills: Agentic AI development and deployment. Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Working with large datasets on AWS and Databricks Strong hands-on experience with: Agentic AI development and deployment. Working with large datasets on AWS and Databricks. Desired Experience: Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Experience integrating AI with IoT/event data. Experience with real-time and batch inference integration with SaaS applications. International team management experience. Track record of successful product launches in regulated environments Education and Experience: 5+ years of data science/AI experience (2 to 3 years exp preferred) Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred). Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production. Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences. Thanks & Regards Bhawesh Kaushik E: Bhawesh.Kaushik@akkodisgroup.com C: 922 040 6619 LinkedIn: www.linkedin.com/in/bhawesh-b36532161/ Show more Show less

Job Title: Senior Technical Manager – Full Stack (Python / React / Node / Cloud) Location: Jaipur Type: Full-time, Permanent Experience: 5+ years in software engineering (2+ years in leading multi-stack teams) Urgency: Immediate joiners preferred About the Role: We’re looking for a Senior Technical Manager to lead high-impact full-stack engineering projects across cloud-native and microservices architectures. You’ll manage cross-functional teams, guide system design, and drive delivery in a fast-paced environment. Key Responsibilities: Lead and mentor multi-stack engineering teams Architect, design, and deliver scalable web applications Oversee DevOps, CI/CD, and cloud infrastructure (AWS/GCP/Azure) Ensure high code quality through Agile practices and engineering excellence Drive incident management and SLI/SLO ownership Collaborate with cross-functional teams for seamless project delivery Must-have Skills: Strong experience with Python 3, Django & DRF Proficiency in React.js (v19+) and Node.js microservices Solid understanding of cloud platforms: AWS, Azure, or GCP Experience with Docker, Kubernetes, and Infrastructure as Code (Terraform) CI/CD using GitHub Actions / GitLab CI Agile / Scrum leadership and team management Good-to-have Skills: LLM / RAG integration, NLP, ML, CV MLOps (Kubeflow / MLflow) DevSecOps practices (SCA, SAST, DAST) Why Join Us? Work on cutting-edge technologies and emerging tech stacks Be part of a high-growth, innovation-driven environment Competitive compensation with performance-based incentives Send your application at alaqsha.qadeer@createbytes.com Show more Show less

Title: Senior Databricks Architect Location : Hybrid ( Chennai, TN) Key Responsibilities: The role requires a strong focus on engaging with clients and showcasing thought leadership. The ideal candidate will be skilled in developing insightful content and presenting it effectively to diverse audiences Cloud Architecture & Design: • Understand customers’ overall data platform, business and IT priorities and success measures to design data solutions that drive business value. • Design scalable, high-performance, end-to-end data architectures, solutions and pipelines using Databricks Lakehouse architecture and related technologies that includes data ingestion, processing, storage and analytical capabilities. • Work with major cloud providers to integrate Databricks solutions seamlessly into customer’s enterprise environments. • Assess and validate non-functional attributes and build solutions that exhibit high levels of performance, security, scalability, maintainability, and reliability. • Optimize Databricks clusters and queries for efficiency, reliability, and cost-effectiveness Technical Leadership: • Guide technical teams in best practices on cloud adoption, migration and application modernization and provide thought leadership and insights into existing and emerging Databricks capabilities. • Ensure long term technical viability and optimization of cloud deployments by identifying and resolving bottlenecks proactively thereby ensuring high availability and efficient resource utilization. Stakeholder Collaboration: • Work closely with business leaders, developers, and operations teams to ensure alignment of technological solutions with business goals. • Work with prospective and existing customers to implement POCs/MVPs and guide through to deployment, operationalization, and troubleshooting. • Identify, communicate, and mitigate the assumptions, issues, and risks that occur throughout the project lifecycle. • Ability to judge and strike a balance between what is strategically logical and what can be accomplished realistically. Innovation and Continuous Improvement: • Stay updated with the latest advancements in Databricks and big data technologies and drive their adoption. • Implement innovative solutions to improve data processing, storage, and analytics efficiency. • Identify opportunities to enhance existing data engineering processes using AI and machine learning tools. Documentation: • Create comprehensive blueprints, architectural diagrams, technical collaterals, assets and implementation plans for Databricks solutions. Required Qualifications: Education: • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Experience: • Minimum of 8 years in architecture roles, including at least 3-5 years working with Databricks. Technical Expertise: • Strong proficiency in Spark, Python, Scala, SQL, and cloud platforms (Azure, AWS, GCP). • Strong proficiency in Databricks workflows, Lakehouse architecture, Delta Tables, and MLflow. • Proficiency in architectural best practices in cloud around user management, data privacy, data security, performance and other non-functional requirements. • Familiarity in building AI/ML models on cloud solutions using Databricks. Soft Skills: • Strong analytical, problem-solving and troubleshooting skills. • Excellent communication and ability to mentor and inspire teams. • Strong leadership abilities with experience managing cross-functional teams. Preferred Skills: • Databricks certification as a professional or architect. • Experience with BFSI or Healthcare or Retail domain. • Experience with hybrid cloud environments and multi-cloud strategies. • Experience with data governance principles, data privacy and security. • Experience with data visualization tools like Power BI or Tableau. Show more Show less

FEQ326R387 Databricks is looking for a motivated Sr. Strategy and Operations Manager to join our Field Engineering team that helps define Go-To-Market (GTM) strategy, provides strategic analyses and instills operational thoughtfulness to our successful & fast-growing GTM business. You will use data and qualitative information to help our Sales and Field Engineering Leadership manage the business. You will support essential aspects of our GTM design and annual planning process. You will help build our data and analytics foundation including executive reporting, health of business reviews, dashboards, and Indicators. You will work with our Field Engineering, Sales, Finance, Data, Marketing, Order Ops, and other GTM teams. You will report to the Sr. Director, Strategy and Ops. The Impact You Will Have Establish the GTM Strategy and build processes in place to ensure we have the right investments at the right time Be a trusted partner to the GTM Leadership by defining, tracking, and implementing goals, programs and strategies that scale Guide annual GTM planning process (FY and long-range modeling, investment Return on investment analysis, HC planning, capacity setting) Design and manage the headcount forecasting process (FY, long-range, and quarterly modeling) Lead executive analyses, strategies, and deliverables (e.g., board materials, QBR) Provide visibility and performance tracking to the business (Operational councils, Ops reviews, rep. efficiency and productivity Indicators, dashboards) Help build our data and reporting foundation Improve operational efficiency by automating and improving processes, and dashboards that scale What We Look For 7+ years of strategy & operations experience (Investment banking, strategy consulting, FP&A, business operations, Enterprise/Mid-Market SaaS experience) Ability and passion to analyze, set priorities, and solve complex problems Propensity to summarize complex concepts and data and present clear information to executives, teams, and internal customers Data expert: Querying and scoping (SQL, Databricks, BigQuery), analysis (Excel), summarizing (pivot tables, charts, slides, written explanation), reporting (dashboards, repositories) Process expert: Envision E2E process change to solve our needs, drive agreement, document requirements, guide execution in partnership with IT, perform UAT, and report on progress Proficient in BI and sales tools (eg: Salesforce, Tableau etc.) Passion for building and working in a high performance global team A fondness for customer service and patience About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

NextDimension is a US-based technology startup at the forefront of the AI revolution, founded by visionary ex-Google and ex-Amazon AI/ML Scientists and Engineers. We're empowering Small and Medium Enterprises (SMEs) by building sophisticated, high-impact AI agents that automate sales, supercharge customer relations, and streamline operations. Our mission, driven by unparalleled Big Tech expertise, is to make advanced AI seamlessly accessible, driving growth and efficiency for businesses ready to thrive in the digital age. The Opportunity: Your Impact as an AI/ML Engineer 🌟 This isn't just another engineering role. As an AI/ML Software Engineer at NextDimension , you'll be a key player in shaping our flagship AI platform. You'll dive deep into Large Language Models (LLMs) on Google Cloud Platform (GCP), architecting and deploying intelligent agents that redefine how businesses operate and connect with their customers. This is your chance to work on a transformative product with global reach, directly engage with clients to understand their needs and deliver impactful solutions, collaborate with a team of brilliant minds, and make your mark in the explosive field of AI. What You'll Achieve 🛠️ Architect & Build Advanced Conversational Agents: Design, develop, and refine high-performance, scalable conversational AI agents using cutting-edge LLMs. Engineer Robust LLM Pipelines: Implement and optimize complex LLM workflows (prompt tuning, embeddings, vector DBs, agentic logic) leveraging tools like Langchain and Langsmith. Drive MLOps Excellence: Deploy, monitor, and maintain AI/ML models on GCP, utilizing best practices in MLOps with tools like MLflow and Docker. Own End-to-End AI Solutions: Contribute to the full product lifecycle – from ideation and rapid prototyping to deployment and continuous improvement. Collaborate for Innovation: Partner with product, engineering, and leadership teams to translate ambitious ideas into market-leading AI solutions. Pioneer with Emerging Tech: Stay at the forefront of LLM, conversational AI, and MLOps advancements, integrating novel techniques to keep us ahead. What You Bring (Key Qualifications) ✨ 1+ years of professional ML/AI engineering experience , with a strong portfolio in LLM deployment . Experience with vibe coding platforms such as Cursor, Lovable, etc. Deep understanding of LLM internals (prompt tuning, embeddings, vector DBs, agent workflows). Hands-on experience with Langchain, Langsmith , and similar LLM development tools. Expert-level Python skills and experience SQL. Proficiency in cloud platforms ( GCP highly preferred ) and containerization (e.g., Docker ). Track record of contributing to end-to-end ML/AI product pipelines . Solid foundation in backend systems and software engineering best practices. Exceptional communication skills, with the ability to explain complex AI concepts clearly. Why NextDimension AI is Your Best Next Move 💡 Competitive Compensation: INR 12 LPA base salary + bonus + equity. Build What Matters: Create impactful AI solutions that directly empower thousands of SMEs and transform industries. Work on the Bleeding Edge: Master the latest in LLMs, conversational AI, agentic AI, and cloud technologies in a fast-paced, innovative environment. Accelerate Your Growth: Join a thriving US-based AI leader with substantial opportunities for career progression, skill development, and leadership. Ready to Shape the AI Frontier? If you're a driven AI/ML engineer ready to build transformative technology and grow with a leader in the field, we're excited to hear from you. Apply now and let’s build the future of AI for businesses, together! Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. ABOUT THIS JOB Nielsen Global Media uses cutting edge technology and industry leading data science to tackle some of the hardest problems in marketing science. We’re automating our models with artificial intelligence and machine learning to produce the same quality insights as a traditional white-glove consulting engagement at unparalleled speed and scale. Intelligence Studio is a horizontally scalable, cross-cloud technology agnostic platform built with trusted open source components like VS Code, Apache Airflow, Jupyterhub and MLFlow. It allows data scientists to focus on doing data science by taking care of essential concerns like data access, logging, configuration, resource negotiation, dependency management, orchestration, and testing. We’re looking for a Staff Software Engineer to help our talented, cross-functional team improve user workflows in Intelligence Studio. Ideal candidates will be hands-on technologists with experience in Python, Kubernetes, Distributed Systems, AWS or Azure cloud infrastructure. This position is a fantastic opportunity for an experienced engineer to work with creative engineers and cutting-edge technologies. RESPONSIBILITIES Build software and integrations in a cloud-based microservices environment (kubernetes) for big data applications with Spark, Ray, etc. Writing software in python, typescript, go, Java and Scala Work with stakeholders and technical leadership to design and build interfaces, workflows, and services that enhance the delivery of data science products Actively participate in team code reviews and enforce quality standards Work within a cross-functional team to author clear and purposeful epics/stories Promote and enforce best practices in development and operations Identify opportunities and weaknesses in the platform architecture Design and develop data visualization tooling using electron, jupyterhub, plotly, typescript and pandas to enhance data exploration workflows for data science Integrate data science visualization and diagnostic tooling like tensorboard, ray serving, spark history server into an existing distributed compute and development environment Build secure integrations with the kubernetes api allowing the management of user workloads in a shared environment with potentially sensitive data Understand and debug interactions between cloud networking components (ALBs, web api proxies) cluster ingression and security using kong and istio, python-based web servers and modern web transfer protocols like websockets and http3 A LITTLE BIT ABOUT YOU You are an experienced software engineer with a proven track record of quickly learning and implementing new technologies. You love technology and are excited to work on a high-performance team building a very ambitious product. You are looking for an opportunity to grow your career and your technical depth by diving into a project working on the current state of the art in big data and cloud technologies. QUALIFICATIONS Bachelor’s degree in Computer Science or a related technical field, or equivalent industry experience Typescript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, ray, tensorflow, CUDA Apache Spark, Istio, Scala, Java, Go, kong, cloud software design, containerized microservices & distributed caching Experience with machine learning (RNNs, CNNs, random forest, LLMs) a plus Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

AI/ML Engineer Vadodara, Gujarat, India Job Title: AI/ML Engineer Location: Job Type: Full-time Experience Level: 2-3 years Salary Range : 60-75k Job Summary: We are looking for a skilled and motivated AI/ML Engineer to join our team. The ideal candidate will design, develop, and implement machine learning models and AI-driven solutions to solve complex business problems. You will collaborate with cross-functional teams to bring scalable and innovative AI products to production. Key Responsibilities: Design, build, and deploy machine learning models and algorithms. Work with large datasets to extract meaningful patterns and insights. Collaborate with data engineers to ensure efficient data pipelines. Conduct experiments and perform model evaluation and optimization. Integrate ML models into production systems. Stay updated with the latest research and developments in AI/ML. Create documentation and communicate findings and models effectively. Requirements: Technical Skills: Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, NLP, computer vision, or reinforcement learning (as per role focus). Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. Experience with databases (SQL, NoSQL) and version control (Git). Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 2-3 years of experience in machine learning or AI roles. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team environment. Excellent communication and documentation skills. Preferred Qualifications: Publications or contributions to open-source ML projects. Experience in deploying models using Docker/Kubernetes. Familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow. What We Offer: Competitive salary and benefits. Opportunity to work on cutting-edge AI technologies. Flexible working hours and remote options. Supportive and innovative team environment. Why join us? As all our products are enterprise-grade solutions so you get to work with the latest technologies to compete with the world. Flexible working hours Work-life balance 5 Days Working Job Type: Full-time Location : Vadodara, Gujarat Qualification: Bachelor's degree or equivalent Mode of working: Remote [WFH]

Vadodara, Gujarat, India Job Title: AI/ML Engineer Location: Job Type: Full-time Experience Level: 2-3 years Salary Range : 60-75k Job Summary: We are looking for a skilled and motivated AI/ML Engineer to join our team. The ideal candidate will design, develop, and implement machine learning models and AI-driven solutions to solve complex business problems. You will collaborate with cross-functional teams to bring scalable and innovative AI products to production. Key Responsibilities: Design, build, and deploy machine learning models and algorithms. Work with large datasets to extract meaningful patterns and insights. Collaborate with data engineers to ensure efficient data pipelines. Conduct experiments and perform model evaluation and optimization. Integrate ML models into production systems. Stay updated with the latest research and developments in AI/ML. Create documentation and communicate findings and models effectively. Requirements: Technical Skills: Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, NLP, computer vision, or reinforcement learning (as per role focus). Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. Experience with databases (SQL, NoSQL) and version control (Git). Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 2-3 years of experience in machine learning or AI roles. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team environment. Excellent communication and documentation skills. Preferred Qualifications: Publications or contributions to open-source ML projects. Experience in deploying models using Docker/Kubernetes. Familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow. What We Offer: Competitive salary and benefits. Opportunity to work on cutting-edge AI technologies. Flexible working hours and remote options. Supportive and innovative team environment. Why join us? As all our products are enterprise-grade solutions so you get to work with the latest technologies to compete with the world. Flexible working hours Work-life balance 5 Days Working Job Type: Full-time Location : Vadodara, Gujarat Qualification: Bachelor's degree or equivalent Mode of working: Remote [WFH]

Job Title: AI/ML Engineer Location: Job Type: Full-time Experience Level: 2-3 years Salary Range : 60-75k Job Summary: We are looking for a skilled and motivated AI/ML Engineer to join our team. The ideal candidate will design, develop, and implement machine learning models and AI-driven solutions to solve complex business problems. You will collaborate with cross-functional teams to bring scalable and innovative AI products to production. Key Responsibilities: Design, build, and deploy machine learning models and algorithms. Work with large datasets to extract meaningful patterns and insights. Collaborate with data engineers to ensure efficient data pipelines. Conduct experiments and perform model evaluation and optimization. Integrate ML models into production systems. Stay updated with the latest research and developments in AI/ML. Create documentation and communicate findings and models effectively. Requirements: Technical Skills: Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, NLP, computer vision, or reinforcement learning (as per role focus). Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. Experience with databases (SQL, NoSQL) and version control (Git). Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 2-3 years of experience in machine learning or AI roles. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team environment. Excellent communication and documentation skills. Preferred Qualifications: Publications or contributions to open-source ML projects. Experience in deploying models using Docker/Kubernetes. Familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow. What We Offer: Competitive salary and benefits. Opportunity to work on cutting-edge AI technologies. Flexible working hours and remote options. Supportive and innovative team environment. Why join us? As all our products are enterprise-grade solutions so you get to work with the latest technologies to compete with the world. Flexible working hours Work-life balance 5 Days Working Job Type: Full-time Location : Vadodara, Gujarat Qualification: Bachelor's degree or equivalent Mode of working: Remote [WFH]

Kalina , Mumbai, Maharashtra, India Department DIGITAL Job posted on Jun 02, 2025 Employee Type Permanent Experience range (Years) 4 years - 9 years Key Responsibilities: Lead the design, development, and deployment of predictive models, optimization algorithms, and statistical analyses. Translate complex business problems into data science solutions using machine learning, deep learning, NLP, and statistical modeling. Collaborate with product managers, engineers, and business stakeholders to understand objectives and deliver actionable insights. Mentor junior data scientists and analysts, and drive best practices in experimentation, coding standards, and model governance. Conduct exploratory data analysis, feature engineering, and model validation to ensure accuracy and robustness. Present findings and recommendations clearly to both technical and non-technical stakeholders. Stay up to date with the latest trends in AI/ML, and recommend new tools or techniques as appropriate. Contribute to the development of data science pipelines and MLOps practices for scalable and reproducible model deployment. Qualifications: Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or related field. 8+ years of experience in data science, analytics, or machine learning roles. Strong proficiency in Python (pandas, scikit-learn, NumPy, TensorFlow/PyTorch) and SQL. Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Solid understanding of data structures, algorithms, and statistical concepts. Hands-on experience in NLP, time series forecasting, recommender systems, or computer vision is a plus. Strong communication and storytelling skills, with the ability to influence decision-making. Experience with version control (Git), CI/CD pipelines, and ML lifecycle management tools (MLflow, Airflow, etc.) is desirable. Preferred Qualifications: Prior experience in industries like finance, healthcare, retail, telecom, or manufacturing. Experience working with large-scale data processing frameworks (e.g., Spark, Hadoop). Knowledge of generative AI or LLM-based applications is a bonus.

About the Role We’re looking for an experienced AI Developer with hands-on expertise in Large Language Models (LLMs) , Azure AI services , and end-to-end ML pipeline deployment . If you’re passionate about building scalable AI solutions, integrating document intelligence, and deploying models in production using Azure, this role is for you. 💡 Key Responsibilities Design and develop AI applications leveraging LLMs (e.g., GPT, BERT) for tasks like summarization, classification, and document understanding Implement solutions using Azure Document Intelligence to extract structured data from forms, invoices, and contracts Train, evaluate, and tune ML models using Scikit-learn, XGBoost , or PyTorch Build ML pipelines and workflows using Azure ML , MLflow , and integrate with CI/CD tools Deploy models to production using Azure ML endpoints , containers, or Azure Functions for real-time AI workflows Write clean, efficient, and scalable code in Python and manage code versioning using Git Work with structured and unstructured data from SQL/NoSQL databases and Data Lakes Ensure performance monitoring and logging for deployed models ✅ Skills & Experience Required Proven experience with LLMs and Prompt Engineering (e.g., GPT, BERT) Hands-on with Azure Document Intelligence for OCR and data extraction Solid background in ML model development, evaluation , and hyperparameter tuning Proficient in Azure ML Studio , model registry , and automated ML workflows Familiar with MLOps tools such as Azure ML pipelines, MLflow , and CI/CD practices Experience with Azure Functions for building serverless, event-driven AI apps Strong coding skills in Python ; familiarity with libraries like NumPy, Pandas, Scikit-learn, Matplotlib Working knowledge of SQL/NoSQL databases and Data Lakes Proficiency with Azure DevOps , Git version control, and testing frameworks Show more Show less

Role Overview We're looking for a talented Machine Learning Engineer with 3+ years of experience to join our growing AI team. This role will play a central part in developing our real-time feedback engine, integrating and fine-tuning LLMs, and spearheading the training and deployment of custom and small language models (SLMs). Key Responsibilities Build and deploy scalable real-time inference systems using FastAPI and AWS. Fine-tune and integrate large language models (LLMs) like Claude 3.5 Sonnet via Amazon Bedrock. Lead or contribute to the training, fine-tuning, and evaluation of proprietary Small Language Models (SLMs). Build ML pipelines for preprocessing multimodal data (audio, transcript, slides). Collaborate with backend, design, and product teams to bring intelligent features into production. Optimize models for speed, efficiency, and edge/cloud deployment. Contribute to MLOps infrastructure for versioning, deployment, and monitoring of models. Required Qualifications 3+ years of experience in applied ML, including model deployment and training. Strong proficiency in Python, PyTorch, Transformers, and model training frameworks. Experience deploying APIs using FastAPI and integrating models in production. Experience fine-tuning LLMs (e.g., OpenAI, Claude, Mistral) and SLMs for specific downstream tasks. Familiarity with AWS services (S3, Bedrock, Lambda, SageMaker). Strong grasp of data pipelines, performance metrics, and model evaluation. Comfort working with multimodal datasets (text, audio, visual). Bonus Points Experience with Whisper, TTS systems (e.g., Polly), or audio signal processing. Background in building or fine-tuning SLMs for performance-constrained environments. Familiarity with MLOps tooling (MLflow, Weights & Biases, DVC). Experience with Redis, WebSockets, or streaming data systems. Perks and Benefits Attractive remuneration (competitive with market, based on experience and potential). Fully remote work – we’re a truly distributed team. Flexible working hours – we value output over clocking in. Health & wellness perks, learning stipends, and regular team retreats. Opportunity to work closely with passionate founders and contribute from Day 1. Be a core part of a fast-growing, high-impact startup with a mission to transform education. We look forward to receiving your application! Show more Show less

P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 10 new teams from scratch ! The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing, cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers. As one of the first engineers for Money at Databricks India , you will be key to building a base for one of Databricks’ most central engineering teams . You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure . Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The Impact You Will Have Own Money systems and services that govern usage of all Databricks products and offerings. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. Represent Databricks at academic and industrial conferences & events. What We Look For BS/MS/PhD in Computer Science, or a related field 12+ years of production level experience in one of: Java, Scala, C++, or similar language. Comfortable working towards a multi-year vision with incremental deliverables. Proven track record in architecting, developing, deploying, and operating large scale distributed systems. Experience with software security and systems that handle sensitive data. Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. A proactive approach and a passion for delivering high-quality solutions Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

P-1347 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India. We are seeking an experienced Senior Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges. What We Look For 8+ years of production level experience in one of: Python, Java, Scala, C++, or similar language 4+ years of experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Extensive experience working in the Networking domain About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse, built and owned by the Data Platform team. The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights, threat hunting, incident investigations and more. As an engineer in this team, you will play an integral role as we build out our ML Experimentation Platform from the ground up. You will collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to design, implement, and maintain scalable ML pipelines that will be used for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving that influence critical business decisions. You’ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success. Future plans include generative AI investments for use cases such as modeling attack paths for IT assets. What You’ll Do Help design, build, and facilitate adoption of a modern Data+ML platform Modularize complex ML code into standardized and repeatable components Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring Build a platform that scales to thousands of users and offers self-service capability to build ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes, blob storage, and queues in our cloud first environment What You’ll Need B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 7 + years related experience; or M.S. with 5+ years of experience; or Ph.D with 6+ years of experience. 3+ years experience developing and deploying machine learning solutions to production. Familiarity with typical machine learning algorithms from an engineering perspective (how they are built and used, not necessarily the theory); familiarity with supervised / unsupervised approaches: how, why, and when and labeled data is created and used 3+ years experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI etc. Experience building data platform product(s) or features with (one of) Apache Spark, Flink or comparable tools in GCP. Experience with Iceberg is highly desirable. Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.) Production experience with infrastructure-as-code tools such as Terraform, FluxCD Expert level experience with Python; Java/Scala exposure is recommended. Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI/CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills, capable of working in a dynamic environment Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Experience With The Following Is Desirable Go Iceberg Pinot or other time-series/OLAP-style database Jenkins Parquet Protocol Buffers/GRPC VJ1 Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less