9 Milvus Jobs

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Position: Senior Software Engineer-AI/ML Backend Developer Experience: 4-6 years Category: Software Development/ Engineering Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai Shift Timing: General Shift Position ID: J0725-0150 Employment Type: Full Time Education Qualification: Bachelor's degree in computer science or related field or higher with minimum 4 years of relevant experience. We are seeking an experienced AI/ML Backend Developer to join our dynamic technology team. The ideal candidate will have a strong background in developing and deploying machine learning models, implementing AI algorithms, and managing backend systems and integrations. You will play a key role in shaping the future of our technology by integrating cutting-edge AI/ML techniques into scalable backend solutions. Your future duties and responsibilities Develop, optimize, and maintain backend services for AI/ML applications. Implement and deploy machine learning models to production environments. Collaborate closely with data scientists and frontend engineers to ensure seamless integration of backend APIs and services. Monitor and improve the performance, reliability, and scalability of existing AI/ML services. Design and implement robust data pipelines and data processing workflows. Identify and solve performance bottlenecks and optimize AI/ML algorithms for production. Stay current with emerging AI/ML technologies and frameworks to recommend and implement improvements. Required qualifications to be successful in this role Must-have Skills: - Python, TensorFlow, PyTorch, scikit-learn - Machine learning frameworks: TensorFlow, PyTorch, scikit-learn - Backend development frameworks: Flask, Django, FastAPI - Cloud technologies: AWS, Azure, Google Cloud Platform (GCP) - Containerization and orchestration: Docker, Kubernetes - Data management and pipeline tools: Apache Kafka, Apache Airflow, Spark - Database technologies: SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Cassandra) - Vector Databases: Pinecone, Milvus, Weaviate - Version Control: Git - Continuous Integration/Continuous Deployment (CI/CD) pipelines: Jenkins, GitHub Actions, GitLab CI/CD Minimum of 4 years of experience developing backend systems, specifically in AI/ML contexts. Proven experience in deploying machine learning models and AI-driven applications in production. Solid understanding of machine learning concepts, algorithms, and deep learning techniques. Proficiency in writing efficient, maintainable, and scalable backend code. Experience working with cloud platforms (AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Good-to-have Skills: - Java (preferred), Scala (optional) Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team, one of the largest IT and business consulting services firms in the world.,

As a Data Scientist at Amdocs, you will be part of a global team that is dedicated to accelerating service providers" migration to the cloud, enabling differentiation in the 5G era, and digitalizing and automating operations. You will play a hands-on role in developing algorithms and performing data mining to provide valuable insights from data. Located in Pune, your responsibilities will include handling GenAI use cases, developing Databricks jobs for data ingestion, and creating partnerships with project stakeholders to provide technical assistance on important decisions. Your technical skills should include experience in Deep learning engineering, particularly in MLOps, strong NLP/LLM experience, and proficiency in Pyspark/Databricks & Python programming. You will be responsible for building backend applications using Python and Deep learning frameworks, deploying models, and building APIs. Experience with GPU, vector databases like Milvus, Azure cognitive search, and transformers will be essential. Knowledge of Kubernetes, Docker, cloud experience with VMs and Azure storage, as well as sound data engineering experience, would be advantageous. In this role, you will ensure timely resolution of critical issues within the agreed SLA, creating a positive customer support experience and building strong relationships with customers. You will also demonstrate an understanding of key business drivers to ensure strategic directions are followed for organizational success. Amdocs is a dynamic, multi-cultural organization that fosters innovation and empowers employees to grow. You will work in a diverse, inclusive workplace alongside passionate and dedicated teammates. Amdocs offers a wide range of benefits including health, dental, vision, and life insurance, paid time off, sick time, and parental leave. As an equal opportunity employer, Amdocs welcomes applicants from all backgrounds and is committed to fostering a diverse and inclusive workforce.,

As an Amdocs Software Architect, you will have full autonomy to deliver agreed technical objectives and make decisions that require extensive analysis and interpretation. Your role will involve providing technical expertise in software usage, as well as functional and non-functional aspects. You will collaborate with software engineers and other architects to define and refine product structures to align with business needs. Furthermore, you will work closely with customers and product line management to identify and translate customer needs into technical requirements. You will support and lead architectural decisions within a product line or across multiple product lines. Additionally, you will lead projects, review technical designs, and provide guidance to software engineers on technical and architectural decisions. Your responsibilities will include researching, evaluating, and prototyping new methodologies, technologies, and products. You will propose and implement improvements in processes and tools. It is essential to acquire an in-depth understanding of the customer context when making technical decisions. Key Responsibilities: - Extensive experience working with Various LLMs such as Lama, Gpt, and others - Hands-on experience with GenAI use cases - Expertise in developing Cloud Jobs for data ingestion for learning purposes - Establish partnerships with project stakeholders to offer technical assistance for important decisions - Development and implementation of Gen AI use-cases in live production based on business/user requirements Technical Skills: Mandatory Skills: 1. Experience in deep learning engineering, particularly on MLOps 2. Strong NLP/LLM experience and text processing using LLM 3. Proficiency in Python & Terraform programming 4. Building backend applications (data processing, etc.) using Python and deep learning frameworks 5. Deploying models and creating APIs (FAST API, FLASK API) 6. Experience working with GPUs 7. Working knowledge of Vector databases like Milvus, Azure Cognitive Search, Quadrant, etc. 8. Experience with transformers and working with Hugging Face models like llama, Mixtral AI, and embedding models Good to have: 1. Knowledge and experience in Kubernetes, Docker, etc. 2. Cloud experience working with VMs and Azure storage 3. Sound data engineering experience Behavioral Skills: - Effective communication with clients/operational managers and providing solutions - Strong problem-solving skills and ability to gather information - Building relationships with clients/operational managers and colleagues - Adaptability, ability to prioritize, work under pressure, and meet deadlines - Proactive thinking, anticipating problems, and providing solutions - Innovative approach and good presentation skills - Willingness to work extended hours when required In this role, you will be challenged by crafting high-level designs and setting technical standards. You will have the opportunity to work with advanced technologies and be responsible for a suite of products. Amdocs offers a range of benefits, including health, dental, parental leave, and pet insurance. Amdocs is an equal opportunity employer, welcoming applicants from all backgrounds and committed to fostering a diverse and inclusive workforce.,

At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied Machine Learning group is in search of a driven and results-oriented individual to help push the needle of what ML and AI can be used for, while researching new frontiers to raise the bar higher. In this role, as part of the Applied Machine Learning team, you will be responsible for conceptualizing, designing, implementing, and running cutting-edge solutions. You will leverage best-suited ML, AI, and NLP techniques and contribute to building reusable platforms. The team has a broad impact, providing exposure to cross-functional projects with challenging use cases where modern technologies can solve real-world problems. We are seeking someone with a proven track record in crafting and developing high-quality enterprise software solutions. This position requires a hands-on individual who is passionate about problem-solving, able to think creatively about solutions, and lead by example when implementing them. The ideal candidate should be self-starting, upbeat, with excellent written and communication skills, a hardworking collaborator, unafraid to question assumptions, and willing to take initiative. Minimum Qualifications: - Bachelor's in Computer Science or equivalent experience - 7+ years of experience in building and managing big-data platforms, with programming experience in Java - Working experience with search and information retrieval tools such as Lucene, Solr, Elasticsearch, Milvus, Vespa Preferred Qualifications: - Experience scaling distributed ML and AI systems to handle millions of concurrent requests - Experience with ML applications in cross-domain contexts - Experience with public cloud platforms like AWS/GCP - Good understanding of AI/ML stack including GPUs, MLFlow, LLM models - Understanding of data modeling, data warehousing, and ETL concepts - Experience in creating frameworks to deploy platforms in AWS/Azure/GCP - Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams - Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed If you meet these qualifications and are excited about the opportunity to contribute to cutting-edge machine learning projects at Apple, we would love to hear from you. Please submit your CV for consideration.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

As a Software Developer at Amdocs in Pune, India, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. You will work on specific modules, applications, or technologies, dealing with sophisticated assignments during the software development process. Your key responsibilities will include owning specific modules within an application, providing technical support and guidance during solution design for new requirements, and resolving critical or complex issues. You will ensure that the code is maintainable, scalable, and supportable. Additionally, you will present software product demos to partners and customers, using your technical knowledge to influence product evolution. In this role, you will investigate issues by reviewing and debugging code, providing fixes, and workarounds. You will analyze and fix bugs, review changes for operability, and help mitigate risks from technical aspects. By bringing continuous improvements to software or business processes through innovative techniques and automation, you will reduce design complexity, response time, and enhance end-user experience. Your technical skills will be put to the test, with mandatory requirements including experience in deep learning engineering, strong NLP/LLM expertise, proficiency in Python and Terraform programming, building backend applications using Python and deep learning frameworks, deploying models, and building APIs. Knowledge of working with GPUs and vector databases like Milvus, Azure Cognitive Search, and experience with transformers and hugging face models is essential. You will work on developing and implementing Gen AI use-cases in live production, creating partnerships with project stakeholders, and providing technical assistance for important decisions. Good communication, problem-solving, relationship-building, adaptability, and prioritization skills will be crucial for success in this role. This position offers you the opportunity to specialize in software and technology, take an active role in technical mentoring within the team, and enjoy stellar benefits including health, dental, paid time off, and parental leave. Amdocs is an equal opportunity employer that values diversity and inclusivity in the workforce.,

As a Data Scientist at Amdocs in Pune, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. Your role will involve hands-on experience in handling GenAI use cases and developing Databricks jobs for data ingestion for learnings. You will create partnerships with project stakeholders to provide technical assistance for important decisions and work on the development and implementation of Gen AI use-cases in live production as per business/user requirements. Your technical skills should include mandatory expertise in deep learning engineering (mostly on MLOps), strong NLP/LLM experience, and processing text using LLM. You should be proficient in Pyspark/Databricks & Python programming, building backend applications using Python and deep learning frameworks, and deploying models while building APIs (FAST API, FLASK API). Experience with working with GPUs, vector databases like Milvus, Azure cognitive search, and quadrant, as well as transformers and hugging face models like llama, Mixtral AI, and embedding models is essential. It would be good to have knowledge and experience in Kubernetes, Docker, cloud experience working with VMs and Azure storage, and sound data engineering experience. In this role, you will be challenged to design and develop new software applications, providing you with opportunities for personal growth in a growing organization. Your job will involve minimal travel and will be located in Pune. Join Amdocs and help build the future to make it amazing by unlocking innovative potential for next-generation communication and media experiences for end users and enterprise customers.,

Here's a detailed overview of the Manager, Machine Learning Engineering (Specializing in Generative AI) role at Publicis Sapient in Hyderabad, Telangana, India: Company Description Publicis Sapient is a digital transformation partner that helps established organizations achieve their future, digitally-enabled state, both in how they work and how they serve their customers. They unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and creative problem-solving . United by their core values and purpose of helping people thrive in the brave pursuit of next, their 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate their clients businesses by designing the products and services their customers truly value. Overview: Manager, Machine Learning Engineering (Generative AI Specialist) Publicis Sapient is seeking an experienced Manager, Machine Learning Engineering to lead their talented team of AI and data science experts. In this influential role, you will be responsible for developing and implementing solutions that address complex business challenges across a wide range of industries, empowering clients to revolutionize their businesses by harnessing the potential of advanced technology. As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. This role has a specific focus on Generative AI . Your Impact: What You'll Achieve As a Manager, Data Science specializing in Generative AI, you will: Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences. Strategic Collaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals. Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning. Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP , ensuring measurable outcomes. Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges. Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements. Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact. Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions. Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation. Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS, and Azure to address real-world business problems with precision and efficiency. Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects. Responsibilities Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization. Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation. Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights. Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production. Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions. Qualifications: Your Skills & Experience Overall Experience: 8 to 15 years of experience. Generative AI Experience: At least 2 years of Gen AI experience . LLM Fine-tuning: Fine-tuning experience with Large Language Models (LLMs, VLLMs, or Vision models) . Distributed Training/Inference: Experience with distributed training or inference frameworks like Ray, vllm, openllm, bentoML etc. Generative AI Frameworks: Experience with frameworks like LangChain, Llamaindex for building maintainable, scalable Generative AI applications. LLM Deployment/Optimization: Deployment experience or optimized hosting experience of Large Language Models (LLMs, VLLMs, or Vision models) . Vector Databases: Experience working with any Vector database like Milvus, FAISS, ChromaDB etc. Agent Development: Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc. Prompt Engineering: Experience with prompt engineering. Market Trends: Keeping up with latest market trends. Open Source LLMs: Experience working with open-source large language models from HuggingFace . Cloud Providers: Experience working with at least one public cloud provider such as Azure, AWS, or GCP . Container Technology: Experience working with container technology like Docker, ECS etc. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines for data solutions. Production Deployment: Experience in deploying solutions to production with Kubernetes or OpenShift . ML Workflow Management: Experience with managing ML workflows with MLFlow or KubeFlow .

Tech stack required: Programming languages: Python Public Cloud: AzureFrameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool. Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production Nice to have requirements to the candidate Excellent communication skills, both written and verbal. Strong problem-solving and critical-thinking abilities. Effective leadership and mentoring skills. Ability to collaborate with cross-functional teams and stakeholders. Strong attention to detail and a commitment to delivering high-quality solutions. Adaptability and willingness to learn new technologies. Time management and organizational skills to handle multiple projects and priorities.