Software Engineer - AI/ML at Eurofins | Bengaluru

About UsMindtickle stands as the premier revenue productivity platform, adeptly merging on-the-job learning with deal execution to elevate revenue per representative. Acknowledged as a frontrunner by top industry analysts, we proudly hold the title of the #1 sales onboarding and training product according to G2. Additionally, we have been honored as a Leader in the inaugural Forrester Wave™: Revenue Enablement Platforms, Q3 2024!In the role of a Senior Software Development Engineer specializing in AI/ML, you will:- Transform business inquiries and requirements into actionable technical specifications, solutions, architectures, and implementations.- Define precise problem statements and technical requirements that align business objectives with AI research goals.- Spearhead the comprehensive design, prototyping, and implementation of AI systems, ensuring they achieve performance, scalability, and reliability benchmarks.- Design solutions for Generative AI and Large Language Model integrations, focusing on prompt engineering, context management, and agentic workflows.- Develop and uphold production-quality code with extensive test coverage and robust CI/CD pipelines utilizing AWS, Kubernetes, and cloud-native infrastructures.- Establish and manage post-deployment monitoring, performance testing, and alerting frameworks to guarantee adherence to performance and quality SLAs.- Conduct meticulous design and code reviews, uphold best practices, and champion technical excellence across the team.- Mentor junior engineers and interns, cultivating a culture of continuous learning and innovation.- Collaborate intimately with product management, QA, data engineering, DevOps, and customer-facing teams to deliver cohesive AI-driven product features.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.Key ResponsibilitiesLead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.

Job Title: Senior AI ML Data Engineer for ADAS Backend Development with AzureWe are seeking a skilled Python Lead with extensive experience in Azure Cloud to oversee data-in-the-loop operations, emphasizing data traceability and sequencing.Key Responsibilities:Prioritize project requirements in alignment with stakeholder expectations. Design, develop, and maintain high-quality Python code, with a primary focus on FastAPI for API development.Manage API deployment and operations on Azure Cloud, utilizing Docker and Kubernetes for effective containerization and orchestration.Implement Infrastructure as Code (IaC) using Terraform to ensure scalable and maintainable cloud infrastructure. Collaborate with cross-functional teams to define project requirements and architecture.Conduct thorough code reviews, offer technical guidance, and mentor team members to promote continuous improvement.Uphold best practices in software development, including rigorous testing, comprehensive documentation, and effective version control.Troubleshoot and resolve complex technical challenges to ensure system reliability and performance.

Join our dynamic team at DigitalOcean as a Senior Cloud Support Engineer, specializing in AI/ML and database technologies. In this impactful role, you will leverage your expertise to provide exceptional technical support, troubleshoot complex issues, and collaborate with cross-functional teams to enhance our cloud services. Your contributions will be pivotal in ensuring our clients achieve their goals using our innovative infrastructure and tools.

Join Saviynt, a pioneer in identity security, where our AI-powered identity platform plays a critical role in managing and governing access to an organization’s applications, data, and business processes. We are trusted by our clients to protect their digital assets, enhance operational efficiency, and lower compliance costs. As we embrace the AI era, Saviynt equips organizations with the tools to safely advance their AI initiatives. We proudly serve leading brands, Fortune 500 companies, and government institutions worldwide. To learn more about us, visit www.saviynt.com.

Join gsstech-group as a Technology Engineer specializing in AI/ML Platforms, MLOps, and GenAI infrastructure. In this pivotal role, you will be responsible for designing, building, and scaling cutting-edge AI systems. We are looking for a candidate who excels in containerized environments, model serving, and cloud-based AI architecture, with an emphasis on performance, scalability, and resilience.Key Responsibilities:Design, build, and maintain containerized applications leveraging technologies such as OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Deploy and optimize AI inference engines like Triton Inference Server and vLLM for high-performance model serving.Lead the end-to-end model lifecycle management, including deployment, monitoring, scaling, and retraining workflows.Implement comprehensive monitoring, logging, and alerting systems using Prometheus and Grafana.Collaborate on projects focused on GenAI and LLM-based solutions, particularly Agentic AI solutions.Develop and automate CI/CD pipelines with tools such as Jenkins, Groovy, Ansible, and Terraform.Create automation scripts and internal tools using Python.Architect and manage AI/ML solutions on AWS, utilizing services like SageMaker and Bedrock (preferred).Enhance AI platforms across on-premise and cloud environments.Ensure systems are highly scalable, fault-tolerant, and optimized for performance.Contribute to architecture design, platform roadmap, and strategic technical decisions.

Join our dynamic team at nerdy as a Senior Software Engineer specializing in AI-native technologies. In this pivotal role, you will leverage your expertise to develop innovative AI solutions, contributing to transformative projects that impact millions. Collaborate with cross-functional teams to design, build, and maintain scalable software applications that push the boundaries of what's possible with AI.

Company OverviewCommerceIQ is at the forefront of transforming digital commerce with its AI-driven platform. Our comprehensive ecommerce management solutions enable brands to make informed decisions that enhance their digital presence, boost retail media ROI, and drive incremental sales across major global marketplaces. Serving a network of over 900 retailers, our platform assists more than 2,200 leading brands in optimizing their marketing, supply chain, and sales processes to expand their market share across 50+ countries. Ten of the twelve top CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, rely on our services. Backed by over $200M in funding from prestigious investors like SoftBank and Insight Partners, we are poised for significant growth. Discover more at commerceiq.ai. The Role:The e.fundamentals Digital Shelf Analytics platform aggregates nearly 4 million webpages daily from around 500 retailers globally. This monumental data collection requires specialized tools for scheduling and managing numerous tasks efficiently.Our Scheduling team is dedicated to developing and maintaining these essential tools. We seek a seasoned Software Engineer to lead the team as we create a new iteration of our scheduling system, catering to the needs of our rapidly expanding clientele.What You’ll Do:Lead and mentor a team of skilled engineers, guiding them in delivering a flexible and scalable scheduling system.Ensure the team’s health and success by fostering a positive and collaborative culture.Balance hands-on development tasks with team leadership responsibilities.

About AIONAION is at the forefront of innovation, developing a cutting-edge interoperable AI cloud platform that is set to redefine high-performance computing (HPC). Our decentralized AI cloud is engineered for bare-metal performance, democratizing access to compute resources and offering managed services. Our goal is to create an all-encompassing AI lifecycle platform, guiding organizations from data collection to model deployment through our unique forward-deployed engineering methodology.As AI reshapes industries globally, the demand for computational power is escalating. AION is committed to being the gateway for dynamic compute workloads, constructing integration pathways with various global data centers and revolutionizing the compute stack with our advanced serverless technology. We prioritize enterprise security and compliance, re-evaluating every aspect of our infrastructure, from hardware to API interfaces.With a team of highly experienced founders who have previously achieved successful exits and strong backing from prominent venture capitalists, AION is strategically positioned with global partnerships. Our headquarters are in the US, and we are building our initial core team in India.Who You AreYou are an experienced engineer with a proven track record in building and scaling high-performance inference systems tailored for AI/ML workloads. Your deep understanding of the complexities involved in serving models at scale—such as latency optimization, resource orchestration, autoscaling dynamics, and maintaining production reliability—sets you apart. You have designed distributed systems capable of processing thousands of requests per second while ensuring sub-second response times and cost efficiency.Proficiency in Golang is highly desirable, and familiarity with inference engines (e.g., vLLM, TGI, TensorRT), containerization, and distributed systems will be advantageous. You are proactive in making platform-level decisions, strategically balancing performance and cost, and your contributions will empower AI inference for countless developers worldwide.You have a product-oriented mindset, considering how your technical choices affect developers using AION's platform and focusing on the complete user experience. You are a collaborative team player, adept at juggling multiple responsibilities—whether optimizing inference latency, engaging with customers to address their deployment challenges, or assisting with UI/UX, customer success, and product operations.

Join Abstrabitte Technologies Pvt Ltd as a Senior AI/ML Engineer, where you will play a pivotal role in developing cutting-edge machine learning models and artificial intelligence solutions. You will collaborate with a talented team of engineers and data scientists to innovate and deliver impactful AI applications.

Join AlphaSense as a Senior Software Engineer specializing in AI applications, where you'll develop innovative solutions that leverage artificial intelligence to enhance our platform. You will be part of a dynamic team, collaborating to build scalable and efficient software that empowers users with cutting-edge technologies.

About Us:At Endpoint Clinical, we are dedicated to revolutionizing clinical trials through our cutting-edge interactive response technology (IRT®). Founded in 2009, our mission is to empower sponsors and pharmaceutical companies in their quest for clinical trial success. Our innovative PULSE® platform is designed to optimize supply chains, reduce operational costs, and facilitate timely and accurate patient dosing. With headquarters in Raleigh-Durham, North Carolina, and offices across the globe, including Europe and Asia, we are poised to make a significant impact in the life sciences industry.Position Overview:The AI Software Developer will play a vital role in harnessing AI technologies to streamline business processes within our organization. This position involves collaborating with the Automation Center of Excellence (CoE) to deploy AI-driven solutions that have been identified and approved. Responsibilities will include developing proof of concepts (POCs) and collaborating with the team to scale AI implementations globally. Ideal candidates will possess strong skills in Natural Language Processing (NLP), prompt engineering, and practical experience with various AI tools and frameworks.This role is available at our offices in Bengaluru and Hyderabad.

Join our cutting-edge team at Bosch Group as an AI/ML Architect, where you will lead innovative projects leveraging artificial intelligence and machine learning technologies. This role involves designing and implementing advanced algorithms and models, collaborating with cross-functional teams to drive AI initiatives, and ensuring the successful integration of AI solutions into business processes.

Role Overview Nielsen is hiring a Lead Software Engineer (Senior AI Architect) in Bengaluru. This position centers on designing and building advanced software solutions that use artificial intelligence. The role involves setting technical direction and guiding the architecture for AI-driven projects. What You Will Do Lead the design and implementation of software systems that incorporate AI technologies Apply strong software engineering principles to create reliable, maintainable solutions Collaborate with other engineers and stakeholders to shape project direction What We Look For Extensive experience in software engineering Deep understanding of AI architecture and related technologies Ability to guide teams and drive technical progress

Join our innovative team at lastminute.com as a Senior Software Development Engineer. In this pivotal role, you will be responsible for designing, developing, and deploying cutting-edge software solutions that enhance our travel services. You will collaborate with cross-functional teams to drive technological advancements and ensure top-notch user experiences.

Harness is revolutionizing software delivery with its cutting-edge AI platform, founded by visionary technologist Jyoti Bansal, who previously established AppDynamics, a company acquired by Cisco for an impressive $3.7 billion. With a robust funding of approximately $570 million and a valuation of $5.5 billion, Harness is supported by top-tier investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms the coding landscape, the typical bottlenecks have shifted towards the subsequent phases of software development—testing, deployments, application security, reliability, compliance, and cost optimization. Harness employs AI and automation to enhance this "outer loop," empowering teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform seamlessly integrates deep context and intelligent automation within the software delivery process, with governance and policy-driven controls embedded throughout.Over the past year, Harness facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, while managing $2.8 billion in cloud expenditure. This success enables notable clients such as United Airlines, Morningstar, and Choice Hotels to accelerate their release cycles by up to 75%, reduce cloud costs by up to 60%, and achieve a tenfold increase in DevOps efficiency.With a diverse workforce spread across 14 offices in 25 countries, Harness is at the forefront of shaping the future of AI-driven software delivery. We are on the lookout for exceptional talent to further our mission.About the RoleWe are in search of a seasoned Senior Software Engineer to spearhead our Engineering Productivity initiatives and enhance our quality automation strategy. In this role, you will architect advanced test frameworks and quality solutions that guarantee outstanding reliability for products utilized by over 38 million developers worldwide.As a senior figure in our engineering team, you will provide technical guidance while collaborating with a talented pool of engineers from prestigious institutions across India and the United States. This position offers significant influence over our engineering culture and product quality standards, along with clear opportunities for technical leadership and architectural decision-making.Key ResponsibilitiesDesign and lead the development of enterprise-grade test automation frameworks and tools that support our CI/CD pipeline.Provide technical leadership in designing comprehensive test strategies that address functional requirements, performance benchmarks, and scalability challenges.Mentor junior engineers and establish quality engineering best practices across the organization.Collaborate with cross-functional teams to ensure seamless integration of testing processes.