associate engineer

manufacturing engineer

ml engineer

LAPP Group

<div>
 
 We are seeking a highly skilled and experienced AI/ML Engineer to join our team and lead the design, development, and deployment of cutting-edge machine learning and AI solutions. The ideal candidate will have a strong background in Generative AI, Large Language Models (LLMs), and hands-on experience with Python and Microsoft Azure. This role involves building and optimizing AI systems to solve complex business problems while leveraging the latest advancements in artificial intelligence.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Build and fine-tune Generative AI models (e.g., GPT, BERT, DALL-E) and implement solutions for tasks like text generation, summarization, chatbots, and more
 </li>
 <li>
 Work with Large Language Models (LLMs), including training, fine-tuning, and deploying them for business-specific applications
 </li>
 <li>
 Leverage Microsoft Azure AI Services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI) for model development, deployment, and scaling
 </li>
 <li>
 Design and deploy AI/ML solutions on Azure platforms such as Azure Kubernetes Service (AKS) or Azure Functions
 </li>
 <li>
 Deploy and manage AI/ML models using MLOps practices, including containerization with Docker, orchestration with Kubernetes, and CI/CD pipelines
 </li>
 <li>
 Integrate AI/ML models into applications via APIs and microservices, ensuring seamless interaction with other systems
 </li>
 <li>
 Stay updated with advancements in AI and machine learning, including emerging tools, frameworks, and methodologies
 </li>
 <li>
 Ensure ethical AI practices, including bias mitigation, interpretability and responsible use of generative models
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence or a related field
 </li>
 <li>
 4&ndash;12 years of hands-on experience in machine learning, deep learning and AI model development
 </li>
 <li>
 Expertise in Python
 </li>
 <li>
 Experience with Generative AI models
 </li>
 <li>
 Proficiency in working with Large Language Models (LLMs) and techniques like prompt engineering and embeddings
 </li>
 <li>
 Strong knowledge of Microsoft Azure AI Services and deployment tools (Azure Machine Learning, Cognitive Services, Azure OpenAI)
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering and working with large datasets
 </li>
 <li>
 Knowledge of NLP tasks like text generation, summarization and sentiment analysis
 </li>
 </ul>
 
 
 
 
 Do you have questions about the job? Or would you like to apply directly and pursue a career at LAPP? Contact Evanthia Papadopoulou from HR!
 
 
 
 
 
 
 Mail:
 
 evanthia.papadopoulou@lapp.com
 
</div>

AI/ML Engineer

Impetus

<div>
 
 Locations: Bangalore, Noida, Gurgaon, Pune, Indore, Hyderabad.
 
 
 
 
 
 Experience: 4 - 12 Years.
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Possess strong logical and analytical abilities in problem-solving and solution designing
 </li>
 <li>
 Use case derivation and solution creation from structured/unstructured data
 </li>
 <li>
 Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance &amp; capabilities of LLMs
 </li>
 <li>
 Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
 </li>
 <li>
 An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
 </li>
 <li>
 Work closely with business and product management teams to develop and implement analytics solutions.
 </li>
 <li>
 Communicate results to diverse technical and non-technical audiences.
 </li>
 <li>
 Research and Innovation: Stay up to date with the latest advancements in the fields of AI.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 
 Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain
 
 
 Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models
 
 
 Deep learning/LLM models finetuning and evaluation
 
 
 
 Good to Have Skills -
 
 
 
 LLMOps
 
 
 Cloud (AWS)
 
 
 
</div>

Scoutit

<div>
 Hiring
 
 Software Engineers
 
 who bring deep expertise in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. You are someone who thrives in building scalable, high-performance data platforms to improve efficiency, insights, and user experience.
 
 
 
 Salary
 
 : INR 19,00,000 - 28,00,000 / year
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop end-to-end ML pipelines with focus on production reliability.
 </li>
 <li>
 Implement robust testing and validation frameworks for ML models.
 </li>
 <li>
 Establish best practices for model versioning and reproducibility.
 </li>
 <li>
 Build and optimize production-grade ML models .
 </li>
 <li>
 Develop custom NLP solutions for text analysis and processing.
 </li>
 <li>
 Create automated model evaluation and optimization pipelines.
 </li>
 <li>
 Manage ML infrastructure on Databricks cloud platform.
 </li>
 <li>
 Ensure scalability and cost optimization of ML deployments.
 </li>
 <li>
 Maintain data quality and pipeline efficiency.
 </li>
 <li>
 Maintain security and compliance implementations for ML systems.
 
 
 </li>
 </ul>
 
 Eligibility
 
 
 
 <ul>
 <li>
 2 years of production experience in AI/ML model development, deployment, and maintenance
 </li>
 <li>
 Proven expertise with Large Language Models (LLMs) and NLP tasks
 </li>
 <li>
 Strong background in data science and cloud-based AI/ML services (Databricks preferred)
 </li>
 <li>
 Expertise in MLOps/LLMOps for scalable model deployment and management
 </li>
 <li>
 Advanced programming skills in Python, SQL, and automation frameworks
 </li>
 <li>
 Worked in Cloud Platforms: Databricks(AI-ML)
 </li>
 <li>
 MLOps/LLMOps and MLFlow
 
 
 </li>
 </ul>
 (*Note: This is a requirement for one of Scout's clients)
 
 
 Skills: llms,ml,nlp
</div>

Software Engineer

Zeta

<div>
 
 About Zeta
 
 
 
 Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.Our f lagship processing platform - Zeta Tachyon - is the industry&rsquo;s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud &amp; risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform globally.Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+employees - with over 70%roles in R&amp;D - across locations in the US,EMEA, and Asia. We raised$350 million at a $2 billion valuation from Softbank, Mastercard, and other investors in 2021. Learn more @ www.zeta.tech , careers.zeta.tech , Linkedin , Twitter
 
 
 We&rsquo;re hiring an SDE-2 Full-Stack Engineer to build modern banking/payments experiences and ship production agentic-AI features. Be excellent at
 
 either
 
 frontend
 
 or
 
 backend, contribute across the stack, and help us scale secure, low-latency systems that customers love.
 
 
 
 The Role
 
 
 
 You&rsquo;ll build high-scale, secure, distributed systems and user experiences for modern banking and payments&mdash;while shipping AI/ML and agentic-AI features that actually move the needle. We&rsquo;re looking for someone
 
 excellent in either frontend or backend
 
 and comfortable contributing across the stack.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own features end-to-end: from API &amp; data models to responsive UIs and observability.
 </li>
 <li>
 Ship agentic AI: design tool-using agents (planning, tool orchestration, retries/guardrails), RAG pipelines, and evaluations to improve task success.
 </li>
 <li>
 Build scalable, secure platforms: low-latency services, event-driven workflows, and defense-in-depth for PCI/PII.
 </li>
 <li>
 Develop AI/ML capabilities: model integration, prompt/flow engineering, embeddings, vector search, online inference, and A/B evaluations.
 </li>
 <li>
 Optimize performance: reduce p99 latencies, cost, and flakiness across services and frontends.
 </li>
 <li>
 Collaborate cross-functionally: product, design, DS/ML, risk/fraud, and compliance.
 </li>
 <li>
 Mentor and uplift: review PRs, improve patterns, document best practices.
 
 
 </li>
 </ul>
 
 Tech You May Use Here
 
 
 
 <ul>
 <li>
 Frontend: React/ Next.js , TypeScript, state mgmt (Redux/Zustand), Tailwind, component libraries; testing (Jest/RTL), Webpack/Vite.
 </li>
 <li>
 Backend: Java (Spring Boot), Python (FastAPI), Node.js/TypeScript (NestJS); REST/GraphQL/gRPC; WebSockets.
 </li>
 <li>
 Data &amp; Infra: Postgres/MySQL, Redis, Kafka/PubSub, object storage; CI/CD (GitHub Actions/Azure DevOps), containers; AWS/Azure/GCP.
 </li>
 <li>
 AI/ML &amp; Agentic: OpenAI/Anthropic/Gemini SDKs, function/tool calling, LangChain/Autogen/CrewAI, vector DBs (pgvector/FAISS/Pinecone), evals; Copilot ecosystem / Copilot Studio, Power Apps/Power Automate; MLOps (Dockerized inference, model/versioning, feature stores).(Must to have)
 </li>
 <li>
 Security/Compliance: secrets management (Key Vault/SM/Secrets Manager), authN/Z (OIDC/OAuth2), audit, rate limiting, PCI considerations.
 
 
 </li>
 </ul>
 
 Responsibilities (Split By Strength)
 
 
 
 <ul>
 <li>
 If you&rsquo;re backend-leaning (primary):
 </li>
 <li>
 Design and evolve domain services, APIs, and data models for cards/payments.
 </li>
 <li>
 Build resilient, observable services (metrics, tracing, alerts); capacity planning and on-call participation.
 </li>
 <li>
 Integrate AI services and agents into backend workflows (tool routers, retrieval, safety/guardrails).
 </li>
 <li>
 If you&rsquo;re frontend-leaning (primary):
 </li>
 <li>
 Build accessible, performant React/ Next.js apps with clean state and design systems.
 </li>
 <li>
 Implement real-time UX for risk/fraud dashboards, ops consoles, and customer features.
 </li>
 <li>
 Integrate agentic-AI UX (multi-step plans, tool traces, explanations, feedback loops) with secure server boundaries.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 3-5 years professional experience (or equivalent) building production software.
 </li>
 <li>
 Excellent proficiency in either frontend or backend, and working ability across the other side.
 </li>
 <li>
 Solid CS fundamentals (DSA, concurrency, network &amp; HTTP, caching, DB design).
 </li>
 <li>
 Proven experience shipping AI/ML or agentic-AI projects (e.g., RAG/embeddings, tool-using agents, production model integration, or Copilot Studio solutions).
 </li>
 <li>
 Experience with cloud (AWS/Azure/GCP), containers, CI/CD, and observability.
 </li>
 <li>
 Strong problem-solving, ownership, and clear written/verbal communication.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Payments/banking domain exposure (fraud, risk, ledgering, reconciliation) or high-throughput systems.
 </li>
 <li>
 Knowledge of GNNs, NLP, or AI-powered fraud signals.
 </li>
 <li>
 MLOps (model deployment, batch/online features, canarying, eval harnesses).
 </li>
 <li>
 Experience with Microsoft ecosystem (Teams apps, Graph, Copilot Studio/Power Platform).
 </li>
 <li>
 Performance tuning (bundles/pain points on FE; JVM/async IO on BE); accessibility.
 
 
 </li>
 </ul>
 
 What Success Looks Like (First 90 Days)
 
 
 
 <ul>
 <li>
 Ship a meaningful feature end-to-end (API &rarr; UI) with observability and docs.
 </li>
 <li>
 Integrate or improve an agentic flow (tool orchestration + evaluation) that measurably improves a KPI (e.g., time-to-resolution, approval rate, ops effort).
 </li>
 <li>
 Reduce a critical p99 or error rate by a concrete target through profiling and design fixes.
 </li>
 <li>
 Raise the bar via reviews, refactors, and reusable components/patterns.
 
 
 </li>
 </ul>
 
 Life At Zeta
 
 
 
 At Zeta, we want you to grow to be the best version of yourself by unlocking the great potential that lies within you. This is why our core philosophy is
 
 &lsquo;People Must Grow.&rsquo;
 
 We recognize your aspirations; act as enablers by bringing you the right opportunities, and let you grow as you chase disruptive goals.
 
 
 
 is adventurous and exhilarating at the same time.
 
 You get to work with some of the best minds in the industry and experience a culture that values the diversity of thoughts. If you want to push boundaries, learn continuously and grow to be the best version of yourself,
 
 Zeta is the place to be!
 
 Explore the life at zeta
 
 
 
 Zeta is an equal opportunity employer.
 
 
 
 At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities.
</div>

Software Development Engineer II (Fullstack + AI)

AuxoAI

<div>
 
 
 About Auxo AI
 
 
 
 
 Auxo AI is a fast-growing SaS (Service as a Software) company that empowers businesses to harness the power of artificial intelligence for automation, analytics, and smarter decision-making. Our mission is to help organizations accelerate growth by delivering intelligent, scalable, and customer-centric AI solutions leveraging our AI Orchestration platform - Damia.
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems &mdash; including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.&nbsp;
 
 
 
 
 
 
 
 Location
 
 
 :
 
 
 &nbsp;&nbsp;Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid)&nbsp;&ZeroWidthSpace;
 
 
 
 
 
 
 
 Responsibilities
 
 
 :
 
 
 &nbsp;
 
 
 
 
 
 <ul>
 <li>
 
 Own the full ML lifecycle: model design, training, evaluation, deployment&nbsp;
 
 </li>
 <li>
 
 Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection&nbsp;
 
 </li>
 <li>
 
 Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines&nbsp;
 
 </li>
 <li>
 
 Build agentic workflows for reasoning, planning, and decision-making&nbsp;
 
 </li>
 <li>
 
 Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark&nbsp;
 
 </li>
 <li>
 
 Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines&nbsp;
 
 </li>
 <li>
 
 Collaborate with product and engineering teams to integrate AI models into business applications&nbsp;
 
 </li>
 <li>
 
 Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices&nbsp;
 
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 :&nbsp;
 
 
 <ul>
 <li>
 
 5+ years of experience in designing, deploying, and scaling ML/DL systems in production&nbsp;
 
 </li>
 <li>
 
 Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX&nbsp;
 
 </li>
 <li>
 
 Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines&nbsp;
 
 </li>
 <li>
 
 Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)&nbsp;
 
 </li>
 <li>
 
 Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows&nbsp;
 
 </li>
 <li>
 
 Strong software engineering background with experience in testing, version control, and APIs&nbsp;
 
 </li>
 <li>
 
 Proven ability to balance innovation with scalable deployment&nbsp;
 
 </li>
 <li>
 
 B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field&nbsp;
 
 </li>
 <li>
 
 Bonus: Open-source contributions, GenAI research, or applied systems at scale&nbsp;
 
 </li>
 </ul>
 
 
 
 
 
 Why Join AuxoAI?
 
 
 <ul>
 <li>
 
 Be part of a mission-driven company transforming how businesses use AI.
 
 </li>
 <li>
 
 Opportunity to shape marketing from the ground up at a fast-scaling SaS company.
 
 </li>
 <li>
 
 Collaborative, innovative, and growth-oriented culture.
 
 </li>
 <li>
 
 Competitive compensation, benefits, and equity.
 
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist - AI/ML

Albertsons Companies India

<div>
 
 
 About Albertsons Companies Inc.:
 
 
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Engineer ML
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Design, build, evaluate, ship, and refine products by hands-on ML development
 </li>
 <li>
 Work closely with Enterprise Architects and Technical Owners to create applications aligned with the business strategy
 </li>
 <li>
 Work closely with Data Science team to build and optimize machine learning pipelines
 </li>
 <li>
 Collaborate with a cross functional agile team spanning research, data science, product management, and engineering to build new product features using machine learning to solve problem in supply chain, pricing, fulfilment &amp; personalization
 </li>
 <li>
 Continuously learn and adapt to an ever-changing technology landscape to bring varied technology options to the table
 </li>
 <li>
 Participate in design sessions, brainstorming various options, discussing pros and cons, and helping drive consensuses
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 3-6 years of experience in Data Engineering
 </li>
 <li>
 2-3 years of experience in Machine Learning Engineering
 </li>
 <li>
 Programming knowledge and/or experience in either Python, Scala
 </li>
 <li>
 Programming knowledge and/or experience of Distributed Computing frameworks such as Apache Spark, Apache Flink, Hadoop, DASK or Ray
 </li>
 <li>
 Experience of SQL / NoSQL database technologies (Oracle, SQL Server, Cassandra, CosmoDB, MongoDB).
 </li>
 <li>
 Experience of Machine Learning libraries such as scipy / scikit-learn / pytorch / tensorflow / nltk
 </li>
 <li>
 Knowledge of Micro Services (Django, Fast API).
 </li>
 <li>
 Knowledge of software development methodologies (Agile).
 </li>
 <li>
 Ability to troubleshoot and debug programs.
 </li>
 </ul>
 
 
 
 
 
 Competencies:
 
 
 <ul>
 <li>
 Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.
 </li>
 <li>
 Show integrity in what is done and how it is done - without sacrificing personal / business ethics.
 </li>
 <li>
 Team-oriented, positively contributing to team morale and willing to help.
 </li>
 <li>
 Learning-Focused, finding ways to improvise in their field and use positive constructive feedback to grow personally and professionally
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills Required:
 
 
 <ul>
 <li>
 Python, Scala (or Java)
 </li>
 <li>
 Cosmos DB, Mongo DB / Non-SQL and SQL database management
 </li>
 <li>
 Apache Spark / Flink / Hadoop / DASK / Ray
 </li>
 <li>
 Azure / GCP, Kubernetes, CI/CD pipeline, GitHub / Version control
 </li>
 <li>
 RESTful APIs
 </li>
 <li>
 Machine Learning libraries such as scikit-learn, Scipy, Pytorch, TensorFlow
 </li>
 </ul>
 
 
 
 
 
 Additional Skills Required:
 
 
 <ul>
 <li>
 Supervised &amp; Unsupervised Machine Learning algorithms
 </li>
 <li>
 Data streaming platform (eg. Kafka)
 </li>
 <li>
 Data warehouse or Delta Lake
 </li>
 </ul>
</div>

Advanced Engineer ML [T500-20665]

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or related practical experience
 </li>
 <li>
 2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
 </li>
 <li>
 3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Software Engineer, Machine Learning

Explore 155+ Ml engineer in Mangaluru this November. Find roles across top companies and apply now to boost your career.

155 ml engineer jobs IN Mangaluru

AI/ML Engineer

AI/ML Engineer

Software Engineer

Software Development Engineer II (Fullstack + AI)

Senior Data Scientist - AI/ML

Advanced Engineer ML [T500-20665]

Software Engineer, Machine Learning