713 Mlflow Jobs - Page 28

Job Title: Full Stack AI Engineer (3 Years Experience) Location: Gwalior Job Type: Full-time / Permanent Department: Software Development MODE: Work from Office (Mandatory) SALARY: 2 LPA - 5.5 LPA About Us: Synram Software Services Pvt. Ltd., a subsidiary of the renowned FG International GmbH, Germany, is a premier IT solutions provider specializing in ERP systems, E-commerce platforms, Mobile Applications, and Digital Marketing. We are committed to delivering tailored solutions that drive success across various industries. Job Description: We are seeking a highly skilled Full Stack AI Software Engineer with 3 years of experience to join our innovative team. The ideal candidate will have a strong foundation in full stack web development as well as hands-on experience in designing, developing, and deploying AI/ML models. You will play a critical role in building intelligent applications, integrating AI capabilities into end-to-end software solutions, and delivering scalable systems. Key Responsibilities: Design and develop full stack applications using modern frameworks (e.g., MERN/MEAN/Python-Django + React). Build and deploy machine learning models into production environments. Integrate AI capabilities (e.g., NLP, computer vision, recommendation systems) into web or mobile applications. Collaborate with data scientists, product managers, and UI/UX teams to design seamless AI-powered user experiences. Manage and optimize backend infrastructure (e.g., REST APIs, GraphQL, databases, cloud services). Write reusable, testable, and efficient code in both backend and frontend environments. Maintain model pipelines, monitoring performance, and retraining as needed. Leverage cloud platforms (AWS, GCP, Azure) for scalable AI and application deployment. Implement CI/CD pipelines for continuous integration and delivery. Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, or related field. 3+ years of experience in full stack development (Node.js, React, Angular, or similar). Strong understanding of machine learning fundamentals and frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with LLMs (e.g. Mistral, LLaMA, or comparable open-source models) LangChain or CrewAI or similar frameworks for agent orchestration JSON modeling of structured data (job requirements, profiles, etc.) REST API design & integration MongoDB or PostgreSQL Understanding of data protection (GDPR) in AI-driven applications Proficient in Python and JavaScript/TypeScript. Familiarity with cloud platforms (AWS, GCP, Azure). Experience with databases (SQL & NoSQL), Docker, and Git. Excellent problem-solving and communication skills. Nice-to-Have ( Extra Weightage) Experience with vector databases (e.g. Qdrant,Weaviate ) Prompt Engineering & Few-Shot Learning strategies, Mistall AI model Experience deploying LLMs on AWS GPU instances (EC2) Basic understanding of Angular-to-API communication Speech-to-Text (STT) and Text-to-Speech (TTS) processing tools (e.g., OpenAI Whisper, Coqui TTS)Please prioritize candidates who have previously integrated AI models into operational platforms, especially in the HRTech or ERPTech environment. Preferred Qualifications: Experience with LLMs, Generative AI, or AI agents. Exposure to MLOps tools like MLflow, SageMaker, or Kubeflow. Contributions to AI open-source projects or research publications. Understanding of data engineering pipelines and ETL processes. Why Join Us: Work on cutting-edge AI solutions with real-world impact. Flexible work environment and supportive team culture. Opportunities for career growth in a fast-paced, AI-first company. If you're ready to take on new challenges and join a team that values innovation and creativity, apply now! Mail us: career@synram.co or Call us on +91-9111381555 Last Date: 10/05/2025 Job Types: Full-time, Permanent Pay: ₹20,747.74 - ₹32,000.70 per month Benefits: Flexible schedule Health insurance Schedule: Fixed shift Morning shift Weekend availability Supplemental Pay: Overtime pay Performance bonus Yearly bonus Ability to commute/relocate: Gwalior, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Language: English (Preferred) Work Location: In person Application Deadline: 10/05/2025 Expected Start Date: 02/05/2025

Lead, Software Engineering Hyderabad, India Information Technology 313260 Job Description About The Role: Grade Level (for internal use): 11 The Team: Our team is responsible for the design, architecture, and development of our client facing applications using a variety of tools that are regularly updated as new technologies emerge. You will have the opportunity every day to work with people from a wide variety of backgrounds and will be able to develop a close team dynamic with coworkers from around the globe. The Impact: The work you do will be used every single day, it’s the essential code you’ll write that provides the data and analytics required for crucial, daily decisions in the capital and commodities markets. What’s in it for you: Build a career with a global company. Work on code that fuels the global financial markets. Grow and improve your skills by working on enterprise level products and new technologies. Responsibilities: Solve problems, analyze and isolate issues. Provide technical guidance and mentoring to the team and help them adopt change as new processes are introduced. Champion best practices and serve as a subject matter authority. Develop solutions to develop/support key business needs. Engineer components and common services based on standard development models, languages and tools Produce system design documents and lead technical walkthroughs Produce high quality code Collaborate effectively with technical and non-technical partners As a team-member should continuously improve the architecture Basic Qualifications: 9-12 years of experience designing/building data-intensive solutions using distributed computing. Proven experience in implementing and maintaining enterprise search solutions in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design and writing robust maintainable architectures and APIs. Experience developing and deploying Search solutions in a public cloud such as AWS. Proficient programming skills at a high-level languages - Java, Scala, Python Solid knowledge of at least one machine learning research frameworks Familiarity with containerization, scripting, cloud platforms, and CI/CD. 5+ years’ experience with Python, Java, Kubernetes, and data and workflow orchestration tools 4+ years’ experience with Elasticsearch, SQL, NoSQL, Apache spark, Flink, Databricks and Mlflow. Prior experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions Good to have experience with contributing to GitHub and open source initiatives or in research projects and/or participation in Kaggle competitions Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Search Technologies: Query and Indexing content for Apache Solr, Elastic Search, etc. Proficiency in search query languages (e.g., Lucene Query Syntax) and experience with data indexing and retrieval. Experience with machine learning models and NLP techniques for search relevance and ranking. Familiarity with vector search techniques and embedding models (e.g., BERT, Word2Vec). Experience with relevance tuning using A/B testing frameworks. Big Data Technologies: Apache Spark, Spark SQL, Hadoop, Hive, Airflow Data Science Search Technologies: Personalization and Recommendation models, Learn to Rank (LTR) Preferred Languages: Python, Java Database Technologies: MS SQL Server platform, stored procedure programming experience using Transact SQL. Ability to lead, train and mentor. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Inclusive Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 313260 Posted On: 2025-04-28 Location: Hyderabad, Telangana, India

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI PlatformAlign product strategy with Innovaccer’s AI-first approach and broader business goalsDrive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflowsAgent frameworks with planning, memory, and tools integrationEvaluation pipelines for safety, fairness, and domain alignmentModel orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AIStay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act)Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI productsPartner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 12+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure productsProven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applicationsDeep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluationHands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure)Ability to communicate complex concepts to both technical and business audiencesExperience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.)Knowledge of AI safety, explainability, and compliance in regulated environmentsPublished thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days.Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered.Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury.Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office onlyCreche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web.

Job Information Date Opened 04/10/2025 Job Type Permanent RSD NO 10798 Industry IT Services Min Experience 7 Max Experience 9 City Chennai City Corporation State/Province Tamil Nadu Country India Zip/Postal Code 600032 Job Description Location: Chennai/Bangalore/Pune/Hyderabad Experience Range: 8+ Years Click this Link to know more about you : https://forms.office.com/r/BeMsh3teDC Job Title: AI/ML Architect Key Responsibilities Design and review machine learning architecture pipelines end-to-end Architect scalable models using tools like TensorFlow, PyTorch, Scikit-learn Drive data strategy , feature stores, model lifecycle (training, deployment, monitoring) Collaborate with data engineering and product teams to align technical goals Define standards for MLOps, model governance , and responsible AI Must-Have Skills 8+ years in ML/DL, data science, or AI-related roles Expertise in Python , ML frameworks, distributed computing (Spark, Dask) Cloud-native ML deployment on AWS SageMaker, Azure ML, GCP Vertex AI Knowledge of Kubeflow, MLFlow, Airflow , Docker/K8s for ML pipelines Strong grasp of ML lifecycle management, monitoring, and retraining Job Title: Java Architect Key Responsibilities Own the technical design for backend systems built on Java / Spring Boot Create solution blueprints, architecture documents, and design patterns Guide teams on microservices, containerization, API design, and DevOps Conduct code reviews, architecture assessments, and risk mitigation Collaborate with product and infrastructure teams for seamless delivery Must-Have Skills Proficiency in Java 11+/Spring Boot , RESTful APIs, ORM frameworks Experience with Kubernetes, Docker , messaging systems (Kafka, RabbitMQ) Strong grasp of cloud-native development (AWS, Azure, GCP) In-depth understanding of microservices, DDD, clean architecture Performance tuning, scalability, and reliability design Job Title: Solution Architect Key Responsibilities Analyze requirements and design technical solutions across platforms Create architecture roadmaps for applications, integrations, and cloud infrastructure Lead POCs , architecture evaluations, and tech selection Align solutions with enterprise architecture standards and security best practices Act as a technical bridge between stakeholders, developers, and leadership Must-Have Skills Strong experience in application architecture , APIs, and system integration Familiarity with cloud platforms (Azure, AWS, GCP) Solid understanding of data architecture, DevOps practices , CI/CD pipelines Experience with design patterns, scalability, and resilience planning Great communication, documentation, and stakeholder management skills At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

Shop LC US Jaipur i-anmol.tiwari@vaibhavglobal.com Posted : 1 month ago Vaibhav Global Ltd (VGL) Company Overview: Listed in 1996-97 on Indian stock exchanges, Vaibhav Global Ltd (VGL) is an end-to-end electronic deep discount retailer of fashion jewelry, gemstones, and lifestyle products, operating in the US, UK, Germany, and Canada. Shopping Experience: Today's customers seek convenience, and VGL meets this demand through its proprietary 24/7 TV shopping channels (Shop LC in the US and Germany, and Shop TJC in the UK), as well as through various digital mediums including websites, mobile apps, OTT platforms, social media, and third-party marketplaces. VGL reaches almost 124 million households across the US, UK, and Germany. As digitization progresses and online retail continues to grow, VGL's portfolio and omni-channel strategy will evolve accordingly. Financials and Workforce: VGL reported a group turnover of approximately Rs. 3,041 Crore (FY 2023-2024) and employs over 3800 people globally. The company’s head office and main manufacturing facility are in Jaipur, India, employing around 3000 people, including contract workers. Acquisitions: Mindful Souls B.V.: In FY23-24, VGL acquired Mindful Souls B.V., a Netherlands-based e-commerce company specializing in subscription-based online sales of fashion jewelry, gemstones, and lifestyle products. This acquisition is expected to leverage VGL's sourcing and manufacturing strengths while enhancing digital business capabilities. Ideal World: VGL, through its subsidiary Shop TJC Ltd (UK), acquired the assets of Ideal World, a well-known teleshopping and digital retail brand in the UK. This acquisition includes IP rights, broadcasting rights, studio equipment, and other intangible assets. Environmental and Social Responsibility: VGL is committed to sustainable business practices and renewable energy initiatives. The company's SEZ unit in India received the ‘Excellence Award’ for ‘IGBC Performance Challenge 2021 for Green Built Environment,’ reflecting its dedication to environmental sustainability. VGL's ‘Your Purchase Feeds...’ initiative has provided 87 million meals to school children in India, the US, and the UK. The company encourages employees to donate at least two hours each month to charitable causes, tracked through its performance system. VGL is also a Great Place to Work (GPTW) certified organization. Shop LC Overview: Shop LC, a VGL subsidiary, was established in Austin, TX in 2007 and now broadcasts live to 75 million homes in the US. The growing e-commerce presence is supported by the website Shop LC. Shop LC ships approximately 25,000 products daily to US customers and employs around 550 people in various operational roles. The US is VGL’s largest market, contributing 68% to consolidated revenue. TJC Overview: TJC, another VGL subsidiary, was established in London, UK in 2006 and broadcasts live to 25 million homes in the UK. The company’s e-commerce presence is supported by the website TJC. TJC ships approximately 12,000 products daily to UK customers and employs around 220 people in London, with extended teams in India. Shop LC Germany Overview: Launched in 2021 from Dusseldorf, Germany, Shop LC Germany TV & e-commerce is a new market with significant growth potential. The business currently reaches 27 million households and is expanding. The e-commerce site can be accessed at Shop LC Germany. Our Purpose: Delivering joy. Our Vision: Be the Value Leader in Electronic Retailing of Jewelry and Lifestyle Products. Our Mission: To deliver one million meals per day to children in need by FY40 through our one-for-one meal program: your purchase feeds... Our Core Values: Teamwork Honesty Commitment Passion Positive Attitude Position Overview: We are seeking an experienced and innovative AI Team Lead to join our dynamic team. The ideal candidate will have a strong background in Azure Machine Learning (Azure ML) , MLOps , and LLMOps with a proven track record of deploying and managing AI/ML models at scale. This role requires a hands-on leader who can guide a team of data scientists and engineers to deliver cutting- edge AI solutions while ensuring operational excellence in AI lifecycle management. Key Responsibilities: Leadership and Team Management: Lead, mentor, and manage a team of AI/ML engineers and data scientists. Set clear goals, define KPIs, and monitor team performance. Foster a culture of innovation, collaboration, and continuous learning. AI/ML Development and Deployment: Oversee the development, training, and deployment of machine learning models using Azure ML. Implement MLOps pipelines for continuous integration, delivery, and monitoring of AI solutions. Lead initiatives in LLMOps for deploying and fine-tuning large language models (LLMs) at scale. Solution Design and Architecture: Design robust AI architectures that integrate with cloud services, ensuring scalability and reliability. Leverage Azure ML services such as Model Registry, Data Labeling, and Experimentation for efficient workflows. Ensure seamless integration of AI models into production environments. Operational Excellence: Establish and maintain automated pipelines for data preprocessing, model training, testing, and deployment. Monitor model performance and drift, implementing strategies for retraining and optimization. Ensure compliance with data governance, privacy, and ethical AI standards. Stakeholder Collaboration: Collaborate with cross-functional teams, including product managers, data engineers, and business leaders, to align AI solutions with organizational goals. Communicate technical concepts and progress effectively to both technical and non-technical stakeholders. Qualifications: Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields. Experience: 6+ years of experience in AI/ML, with at least 2 years in a leadership role. Proven experience in deploying models using Azure ML. Hands-on expertise in MLOps frameworks (e.g., MLflow, Kubeflow) and LLMOps tools (e.g., LangChain, Hugging Face). Technical Skills: Strong programming skills in Python, R, or similar languages. Proficiency in cloud platforms, especially Azure. Experience with CI/CD tools like GitHub Actions, Jenkins, or Azure DevOps. Knowledge of containerization and orchestration (Docker, Kubernetes). Perks: The Great responsibility. A fun-life balance. Culture of openness and flexibility allows employees to keep growing and gravitating to roles that fit their talents and passions. Attractive financial package for top talent. Reporting: The AI Team Lead will directly report to the IT - Delivery Head of VGL. Work Location: Jaipur , Rajasthan Job Overview Compensation ₹ 20,00,000-25,00,000 Yearly Level 6 Location Jaipur Experience 8+ Years Qualification Graduate/Post- Graduate in Computer Science, Data Science, Machine Learning or related fields. Work Mode: Onsite Job Type: Fulltime

Location: Gurgaon Experience: 35 years Type: Full-time, Onsite About the Role We are looking for a Data Scientist to build predictive models, optimize ad campaigns, and develop recommendation systems for global e-commerce sellers. Tech Stack ML & AI: Scikit-learn, XGBoost, Pandas, NumPy Data Processing: Jupyter, SQL, PySpark Workflow & Deployment: Airflow, MLflow, AWS Sagemaker Responsibilities Develop ML models for ad optimization, spend prediction, and campaign automation Process marketplace data (Amazon, Flipkart) into actionable insights Build recommendation systems for budget allocation and ad creatives Collaborate with data engineers and backend developers for full-stack ML solutions Requirements 3+ years of experience in Data Science & Machine Learning Strong skills in Python ML ecosystem (Scikit-learn, XGBoost, Pandas) Experience in A/B testing, business KPIs, and large-scale data processing Bonus: Experience with ad-tech, e-commerce, or analytics platforms Apply at: aradhna.anand@xneeti.com

Zeta Global is looking for an experienced Machine Learning Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organisation. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning engineering best-practices and industry standards. Empower the product and engineering teams to make data-driven decisions. What you need to succeed: 2 to 4 years of proven experience as a Machine Learning Engineer in a professional setting. Proficiency in any programming language (Python preferable). Prior experience in building and deploying Machine learning systems. Experience with containerization: Docker & Kubernetes. Experience with AWS cloud services like EKS, ECS, EMR, Lambda, and others. Fluency with workflow management tools like Airflow or dbt. Familiarity with distributed batch compute technologies such as Spark. Experience with modern data warehouses like Snowflake or BigQuery. Knowledge of MLFlow, Feast, and Terraform is a plus.

Lead, Software Engineering Hyderabad, India Information Technology 313257 Job Description About The Role: Grade Level (for internal use): 11 The Team: Our team is responsible for the design, architecture, and development of our client facing applications using a variety of tools that are regularly updated as new technologies emerge. You will have the opportunity every day to work with people from a wide variety of backgrounds and will be able to develop a close team dynamic with coworkers from around the globe. The Impact: The work you do will be used every single day, it’s the essential code you’ll write that provides the data and analytics required for crucial, daily decisions in the capital and commodities markets. What’s in it for you: Build a career with a global company. Work on code that fuels the global financial markets. Grow and improve your skills by working on enterprise level products and new technologies. Responsibilities: Solve problems, analyze and isolate issues. Provide technical guidance and mentoring to the team and help them adopt change as new processes are introduced. Champion best practices and serve as a subject matter authority. Develop solutions to develop/support key business needs. Engineer components and common services based on standard development models, languages and tools Produce system design documents and lead technical walkthroughs Produce high quality code Collaborate effectively with technical and non-technical partners As a team-member should continuously improve the architecture Basic Qualifications: 10-12 years of experience designing/building data-intensive solutions using distributed computing. Proven experience in implementing and maintaining enterprise search solutions in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design and writing robust maintainable architectures and APIs. Experience developing and deploying Search solutions in a public cloud such as AWS. Proficient programming skills at a high-level languages -Java, Scala, Python Solid knowledge of at least one machine learning research frameworks Familiarity with containerization, scripting, cloud platforms, and CI/CD. 5+ years’ experience with Python, Java, Kubernetes, and data and workflow orchestration tools 4+ years’ experience with Elasticsearch, SQL, NoSQL, Apache spark, Flink, Databricks and Mlflow. Prior experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions Good to have experience with contributing to GitHub and open source initiatives or in research projects and/or participation in Kaggle competitions Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Search Technologies: Query and Indexing content for Apache Solr, Elastic Search, etc. Proficiency in search query languages (e.g., Lucene Query Syntax) and experience with data indexing and retrieval. Experience with machine learning models and NLP techniques for search relevance and ranking. Familiarity with vector search techniques and embedding models (e.g., BERT, Word2Vec). Experience with relevance tuning using A/B testing frameworks. Big Data Technologies: Apache Spark, Spark SQL, Hadoop, Hive, Airflow Data Science Search Technologies: Personalization and Recommendation models, Learn to Rank (LTR) Preferred Languages: Python, Java Database Technologies: MS SQL Server platform, stored procedure programming experience using Transact SQL. Ability to lead, train and mentor. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Inclusive Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 313257 Posted On: 2025-03-30 Location: Hyderabad, Telangana, India

3+ years experience as a software engineer or equivalent designing large data-heavy distributed systems and/or high-traffic web-apps Experience in at least one programming language (Python-2 yrs strong coding is must) or java. Hands-on experience designing & managing large data models, writing performant SQL queries, and working with large datasets and related technologies Experience designing & interacting with APIs (REST/GraphQL) Experience working with cloud platforms such as GCP, Big Query Experience in DevOps processes/tooling (CI/CD, GitHub Actions), using version control systems (Git strongly preferred), and working in a remote software development environment Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience using big data tools such as Spark/PySpark Preferred: Experience using or deploying MLOps systems/tooling (eg. MLFlow) Must have: Experience in pipeline orchestration (eg. Airflow) Must Have Experience in Data Flow 1 yr experience atleast Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience in an additional programming language (JavaScript, Java, etc) Preferred: Experience using data science/machine learning technologies

3+ years experience as a software engineer or equivalent designing large data-heavy distributed systems and/or high-traffic web-apps Experience in at least one programming language (Python-2 yrs strong coding is must) or java. Hands-on experience designing & managing large data models, writing performant SQL queries, and working with large datasets and related technologies Experience designing & interacting with APIs (REST/GraphQL) Experience working with cloud platforms such as GCP, Big Query Experience in DevOps processes/tooling (CI/CD, GitHub Actions), using version control systems (Git strongly preferred), and working in a remote software development environment Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience using big data tools such as Spark/PySpark Preferred: Experience using or deploying MLOps systems/tooling (eg. MLFlow) Must have: Experience in pipeline orchestration (eg. Airflow) Must Have Experience in Data Flow 1 yr experience atleast Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience in an additional programming language (JavaScript, Java, etc) Preferred: Experience using data science/machine learning technologies

Requirements Experience in the life science domain or a related field is preferable 4+ years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Strong programming skills in Python, Scala, Go, Rust or other languages. Excellent written and verbal communication skills and interpersonal skills. Experience with MLOps platforms, such as Kubeflow or MLFlow. Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.

3+ years experience as a software engineer or equivalent designing large data-heavy distributed systems and/or high-traffic web-apps Experience in at least one programming language (Python-2 yrs strong coding is must) or java. Hands-on experience designing & managing large data models, writing performant SQL queries, and working with large datasets and related technologies Experience designing & interacting with APIs (REST/GraphQL) Experience working with cloud platforms such as GCP, Big Query Experience in DevOps processes/tooling (CI/CD, GitHub Actions), using version control systems (Git strongly preferred), and working in a remote software development environment Strong analytical, problem solving and interpersonal skills, have a hunger to learn, and the ability to operate in a self-guided manner in a fast-paced rapidly changing environment Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience using big data tools such as Spark/PySpark Preferred: Experience using or deploying MLOps systems/tooling (eg. MLFlow) Must have: Experience in pipeline orchestration (eg. Airflow) Must Have Experience in Data Flow 1 yr experience atleast Preferred: Experience using infrastructure as code frameworks (Terraform) Preferred: Experience in an additional programming language (JavaScript, Java, etc) Preferred: Experience using data science/machine learning technologies

Machine Learning Engineer -MLOps Engineer Experience: 4 to 8 Years Location: Bengaluru Job Description: Mid-level MLE You Will: Focus on ML model load testing and creation of E2E test cases Evaluate models scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models Enhance monitoring of model scalability, and handle incident of increased error rate Collaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional teams You Bring: 4+ years of industry experience (pls dont include years in a research group or R&D team) Strong programming skills in languages such as Java, Python, Scala Hands-on Experience in Databricks, mlFlow, Seldon Excellent problem-solving skills and analytical skills Expertise in recommendation algorithms Experience with software engineering principles, and use of cloud services like AWS Preferred Qualifications: Experience in Kubeflow, Tecton, Jenkins Experience in building and monitoring large-scale online customer-facing ML applications, preferably recommendation systems Experience working with custom ML platforms, feature store, and monitoring ML models Familiarity with best practices in machine learning and software engineering

A bachelor's degree in Computer Science, Information Systems, Engineering, or other related discipline. Proficient in Azure ML, MLops, ML Flow Good in Data Science, Machine Learning, Deep Learning, Proficient in Python, Pandas, Numpy

A bachelor's degree in Computer Science, Information Systems, Engineering, or other related discipline. Proficient in Azure ML, MLops, ML Flow Good in Data Science, Machine Learning, Deep Learning, Proficient in Python, Pandas, Numpy

A bachelor's degree in Computer Science, Information Systems, Engineering, or other related discipline. Proficient in Azure ML, MLops, ML Flow Good in Data Science, Machine Learning, Deep Learning, Proficient in Python, Pandas, Numpy

A bachelor's degree in Computer Science, Information Systems, Engineering, or other related discipline. Proficient in Azure ML, MLops, ML Flow Good in Data Science, Machine Learning, Deep Learning, Proficient in Python, Pandas, Numpy

A bachelor's degree in Computer Science, Information Systems, Engineering, or other related discipline. Proficient in Azure ML, MLops, ML Flow Good in Data Science, Machine Learning, Deep Learning, Proficient in Python, Pandas, Numpy

Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment. Innovation and Continuous Improvement: Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques. Contribute to the continuous improvement of team processes and workflows. Share knowledge and expertise to promote a collaborative learning environment. Development and Documentation: Build software to run and support machine-learning models. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes. Participate in fast iteration cycles and adapt to evolving project requirements. Business Solutions and Strategy: Propose solutions and strategies to business challenges. Collaborate with Data Science team, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs. Mentorship: Conduct code reviews and mentor junior team members. Foster strong interpersonal skills, excellent communication skills, and collaboration skills within the team. Mandatory Skills: Programming Languages: Proficiency in Python (3.x) and SQL. ML Frameworks and Libraries: Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Databases: Proficiency in SQL and NoSQL databases. Mathematics and Algorithms: In-depth knowledge of mathematics, statistics, and algorithms. ML Modules and REST API: Proficient with ML modules and REST API. Version Control: Hands-on experience with version control applications (GIT). Model Deployment and Monitoring: Experience with model deployment and monitoring. Data Processing: Ability to turn unstructured data into useful information (e.g., auto-tagging images, text-to-speech conversions). Problem-Solving: Analytically agile with strong problem-solving capabilities. Learning Agility: Quick to learn new concepts and eager to explore and build new features.

Role & responsibilities Develop MLOps pipelines for AI/ML model training, validation, and deployment. Automate data ingestion, preprocessing, and feature engineering workflows. Optimize model training and inference performance for scalability and efficiency. Manage CI/CD pipelines for ML models using tools like Jenkins, CI/CD. Deploy models using cloud-based (AWS, Azure, GCP) and on-prem solutions (Docker, Kubernetes). Monitor ML models in production to ensure performance, reliability, and drift detection. Implement robust logging, version control, and rollback strategies for ML models. Work closely with data scientists, AI engineers, and Dev Ops teams to improve AI system integration. Ensure compliance with data security, governance, and model explain-ability best practices. Preferred candidate profile Perks and benefits

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. . We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey. Roles and responsibilities: Build and maintain Machine learning infrastructure that is scalable, reliable and efficient. Familiar with Google cloud infrastructure and MLOPS Write highly scalable APIs. Deploy and maintain machine learning models, pipelines and workflows in production environment. Collaborate with data scientists and software engineers to design and implement machine learning workflows. Implement monitoring and logging tools to ensure that machine learning models are performing optimally. Continuously improve the performance, scalability and reliability of machine learning systems. Work with teams to deploy and manage infrastructure for machine learning services. Create and maintain technical documentation for machine learning infrastructure and workflows. Stay up to date with the latest developments in technologies. Tech stack: GCP cloud skills, Machine learning engineer skills, Python, Microservices, API development Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, Addon (Java + Spring boot) Required Skills: Bachelor's or Master's degree in computer science, engineering or related field. 9+ years of experience in software development, machine learning engineering. Deep experience with Python, API development, microservices. Good to have skills in implementing end to end engineering applications using JVM languages. Prefer experience with Java, Spring boot. Expert in building high-performance APIs. Experience with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git. Experience with GCP ML Ops is required. Good to have some understanding of machine learning concepts and frameworks, deep learning, LLM etc. Good to have some experience with MLOps platforms such as Kubeflow, MLFlow, Sagemaker etc. Good to have experience in deploying machine learning models in a production environment. Good to have experience with data streaming technologies such as Kafka, Kinesis, etc. Strong analytical and problem-solving skills

Role & responsibilities Will need to be strong on ML pipelines, modern tech stack. Proven experience with MLOPs with Azure and MLFlow etc. Experience with scripting and coding using Python. Working Experience with container technologies (Docker, Kubernetes). Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines. Experience in relational database (e.g.:- MS SQL Server) & NoSQL Databases (e.g.:- MongoDB) Python and Strong math skills (e.g. statistics). Problem-solving aptitude and Excellent communication and presentation skills. Automating and streamlining infrastructure, build, test, and deployment processes. Monitoring and troubleshooting production issues and providing support to development and operations teams. Managing and maintaining tools and infrastructure for continuous integration and delivery. Managing and maintaining source control systems and branching strategies. Strong knowledge of Linux/Unix administration. Experience with configuration management tools like Ansible, Puppet, or Chef. Strong understanding of networking, security, and storage. Understanding and Practice of AGILE Methodologies. Proficiency and experience in working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server)

What Youll Do Work on ZS AI Products or client AI solutions using ML Engineering & Data Science Tech stack Work on creating GenAI applications such as answering engines, extraction components, and content authoring Provides technical expertise including the evaluation of different products in ML Tech stack Collaborate with data scientists to create state-of-the-art AI models Design and build ML Engineering platforms and components Design and build advanced ML pipelines for Feature engineering, inferencing and continuous model training Design and build ML Ops framework and components for model visibility and tracking Manage the complete ML lifecycle Leads team to achieve established goals, such as delivering new features or functionality Mentor and groom technical talent within the team Review individual work plans before implementation to identify potential issue areas and/or reduce rework Performs design / code reviews of the team to identify issues/risks and ensure robustness Drive estimation of technical components and tracks team's progress Handle client interactions as and when required Recommend designs that are scalable, testable, debuggable, robust, maintainable and usable Maintain a culture of rapid learning and explorations to drive innovations / POCs on niche technologies and architecture patterns; Systematically debug code issues using stack traces, logs, monitoring tools and other resources What Youll Bring 4-8 years experience in deploying and productionizing ML models at scale Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Expertise in Designing, configuring and using ML Engineering platform like Sagemaker, Azure ML, MLFlow, Kubeflow or other platforms Experience in Building ML pipelines, Troubleshooting ML models for high performance and scalability Experience with Spark or other distributed computing frameworks Strong programming expertise in Python, Scala or Java Experience in deployment to cloud services like AWS, Azure, GCP Strong fundamentals of machine learning and deep learning Up to date with recent developments in Machine learning and are familiar with current trends in the wider ML community Knowledgeable of core CS concepts such as common data structures and algorithms Excellent technical presentation skills (documentation, presentations, discussions) Good communicator with clear and concise, active listening and empathy skills. Collaborate well with teams with different backgrounds / expertise / functions Additional Skills: Understanding DevOps CI / CD, data security, experience in designing on cloud platform; Willingness to travel to other global offices as needed to work with the client or other internal project teams

JOB DESCRIPTION Designation: ML Operations Engineer Location: Hyderabad, India Work Mode: Office Reporting to: Principal Data Scientist Job Overview: At Foundation AI, As an ML Operations Engineer, you will design, develop, and maintain machine learning pipelines. You will work with structured and unstructured data. Your primary responsibility is to streamline the data science pipeline by automating the steps from Data gathering to Model deployment. Lifelong learning is crucial for long-term success, and we encourage you to stay current with the latest research by visiting conferences and sharing your knowledge throughout the enterprise. Responsibilities: You take responsibility for setting up maintainable and reliable ML pipelines on which our data scientists train the models. As part of an agile team, your ideas will be heard and impact the decision-making process. With our goal to invent for life, you will work on solutions that are both innovative and ethical. You will collaborate with ML engineers, data scientists, software developers, and DevOps engineers to have a real-world impact. Optimize the cost and latency of the services in production. Deploy the machine learning models in a scalable manner by utilizing the model-serving tools Skills and Tools: 3+ years of experience with Python, Linux skills, and machine learning principles 3+ years of experience in building and operating ML pipelines and data platforms in production 3+ years of experience in API design, distributed architectures, and orchestration of microservices Experience with container-based deployments (e.g. Docker, Kubernetes) Experience deploying deep learning models to a production environment Model lifecycle management (e.g. MLflow, KubeFlow) - 2+ years of experience in Workflow automation (e.g. Airflow) - 2+ years of experience in Version control of model files (like DVC) - 2+ years of experience in Exposure to Deep Learning frameworks, such as PyTorch, TensorFlow, etc - 2+ years of experience Experience working with the Cloud (AWS, Azure, GCP, etc.) - 2+ years of experience Personality and Working Practice: motivating attitude, profound communication, strong interpersonal skills, structured and analytical Experience in using Serving tools (RayServe, KServe) - 1 year(s) experience Experience in building and maintaining LLM pipelines - 1 year(s) experience Education: Bachelor's degree in Computer Science, Engineering, related field, or equivalent work experience. Our Commitment: At Foundation AI, we're committed to creating an inclusive and diverse workplace. We value equal opportunity and affirmative action principles, giving everyone an equal chance to succeed. We're dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Upholding these values and adhering to applicable laws is paramount to us. For any feedback or inquiries, please contact us at careers@foundationai.com Learn more about us at www.foundationai.com

Develop and prototype machine learning models in collaboration with data scientists,ensuring scalability and production readiness. Implement model experimentation frameworks and methodologies to optimize model performance and reliability. Package, serialize, and optimize machine learning models for efficient deployment in production environments. Manage model registries and version control, ensuring traceability and reproducibility of deployed models. Implement model deployment pipelines and integrate models with CI/CD processes for automated testing and deployment.