556 Llm Jobs - Page 16

Greetings from Enormous IT!!!! Currently we are looking for AI/ML/LLM Data Engineer Experience: 5+ Years Location: Hyderabad Job Description: Build ML infrastructure in the cloud environment Develop and maintain data pipelines to support machine learning models, including data cleaning, prep-processing data, training and evaluation of models Support Prompt Engineering development that utilizes LLM and deep learning frameworks Collaborate with teams to design and implement solutions, including working with domain SMEs, software engineers, and product managers. Qualifications: 5+ years programming experience Strong programming skills in Python with clean, efficient, and well-documented code. Demonstrate experience with data science libraries and AI/ML techniques Deep understanding LLM Proven expertise in Prompt Engineering Experience with public cloud technologies and their ML service (AWS).

Job Description: Overview: To review contracts, conduct research and analyze legal issues associated with contracts and closely work with the customer to interpret contract terms and address potential disputes regarding contractual rights. Required skillset and qualification: Bachelors or Masters degree in law (LLB/LLM) from a recognised university Experience in handling contracts Drafting, reviewing, negotiating, and editing contracts and agreements Proficiency and fluency in English Excellent oral communication skills to closely work with the customer Strong analytical and negotiation skills Comprehensive understanding of corporate law Ability to work collaboratively as a team Prior experience working in a corporate sector Experience in publishing industry would be helpful Experience in working with US and EU clients is an added advantage

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. . Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.

8 years of professional in building Machine Learning models & systems/software engineering Background and moved into LLM last 3-4 years1+ years of hands-on experience in how LLMs work & Generative AI (LLM) RAG, and agents.

Design and develop AI-powered Avatar capable of understanding and responding in multiple languages using NLP and Generative AI techniques. Work on POCs related to AI-driven conversational agents and interactive Avatars.

We are looking for high-energy generalists with a focus on NLP Engineer to deliver theoretically elegant algorithms, practically efficient and well-engineered solutions to complex problems. Skills we need: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production Ability to design and execute A/B tests through a framework Knowledge of association mining, named entity recognition and vector representations of textual data Knowledge of neural networks - RNN, LSTM Ability to apply machine learning to problems that deal with language Strong knowledge of Python, and general software development skills Strong knowledge in data structures and algorithms Qualifications: 3+ years of work experience in data. Good communication skills with analytical and problem solving abilities. Must be a good team player. Should have led a team technically, responsible for POCs, designed the solution and provided the estimate as per requirements

About Lowes Lowes Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowes India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team DACI AI platform team engages in building and managing AI solutions and tools. AI Platform manages products and tools to enable teams across Lowe’s to build AI solutions in terms of providing access to LLMs and tools required in building ML lifecycle on both on premise and cloud(GCP VertexAI). Job Summary The primary purpose of this role is to develop an artificial intelligence (AI) platform that supports a wide array of machine learning (ML) models, including sophisticated deep learning frameworks and large language models (LLMs). This role will work on scaling model performance, building essential tools and frameworks, and managing compute and storage resources. The role involves close collaboration with cross-functional teams to identify new opportunities leveraging AI platform capabilities across different domains to accelerate AI infused product development. Roles & Responsibilities Scales the platform for high performance and integrates new AI capabilities as APIs to ensure the platform remains adaptable and efficient in hosting a variety of ML models. Designs, develops, and implements tools and frameworks that support ML experimentation and deployment. Manages GPU and CPU resources to optimize the execution of AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness. Works closely with data scientists to integrate AI models smoothly into platform. Creates and manages efficient data movement and pipelines for the AI platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI model training and inference. Analyzes platform performance metrics and user feedback to drive continuous improvement initiatives. Utilizes insights to guide platform enhancements, ensuring the AI platform remains at the forefront of technological advancements and user satisfaction. Collaborates effectively with diverse teams, integrating technical expertise with business insights and user needs. Implements security protocols and governance measure for AI platform, ensuring data integrity and compliance with industry standards and best practices. Years of Experience 5-8 years of overall work experience in AI Engineering. Education Qualification & Certifications Bachelor’s Degree (Science, Technology, Engineering, Math or related field) Skill Set Required Experience in AI/ML Platform Engineering, Data, and ML Operations tools and frameworks. Experience working with GPU and CPU Infrastructure, optimizing ML models for performance. Programming experience in Python or equivalent. Experience working with Continuous Integration/Continuous Deployment tools Experience in defining technical requirements and performing high level design for complex solutions Experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI.

Senior Machine Learning Engineer Experience: 5 - 8 Years Exp Salary : SGD 48,000-84,000 / year Preferred Notice Period : Within 30 Days Shift : 09:00AM to 06:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Generative AI models, LLM, rag, AWS, GCP, Machine Learning, Python, SQL Good to have skills : Spark, Docker, Kafka, Kubernetes Portcast (One of Uplers' Clients) is Looking for: Senior Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecyclefrom research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What Youll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelors, Masters, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST Interview Process - 1.Technical Interview 2. Assessment 3. Panel Interview 4. Final CEO Round How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Portcast is a Software-as-a-Service (SaaS) company that provides real-time transportation visibility and predictive analytics for global supply chains. Their platform offers solutions such as real-time container tracking, predictive estimated times of arrival and departure, and port congestion insights, aiming to enhance supply chain efficiency and sustainability. Portcast primarily serves businesses, including logistics service providers, shippers, manufacturers, and logistics technology companies, indicating a business-to-business (B2B) focus About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Remote job opportunity We are hiring for our client company based out of Bengaluru. Good experience with Python development. Utilize SQL to retrieve, manipulate cleanse and store data. PySpark experience desirable. Experience in defining, implementing, debugging and optimizing data integration mappings and scripts from a variety of data sources. Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of data. Work independently or as part of a team to deliver data warehouse projects. Adhere to established standards and best practices and provide input for improvement of those processes. Self-motivated team player who can work with minimal supervision and can adapt to a quickly changing environment. Maintain a high-volume data warehouse application. Ability to work on multiple tasks simultaneously, ability to switch between tasks and work in conflicting priorities Technical Skills & Competencies: Must have strong Python development experience Databricks experience preferred Proficient in Azure Services/Architecture Must have strong SQL skills Exposure to AI/LLM is must Good communication- must

Position Overview: We seek a skilled and innovative AI Engineer with background experience in Python, LangChain, AI, ML, and Data Science principles to design, develop, and deploy Agentic AI Agents / Vertical LLM Agents. The ideal candidate will possess extensive experience with LangChain, data science workflows, prompt engineering, retrieval-augmented generation (RAG), and LLM fine-tuning. You will be working to integrate structured and unstructured data into scalable knowledge bases and evaluate systems for continuous improvement. The role involves developing solutions for use cases primarily for UK-based clients and solving industry-specific challenges with cutting-edge AI technologies. Job Type: Full-Time Location: Powai, Mumbai Salary Range: Competitive, based on experience Working Hours: 10:30 am to 7:30 pm Indian Standard Time Days of work: Monday to Friday Key Responsibilities: 1. Knowledge Base Development and Integration Define Knowledge Base Scope: Collaborate with domain experts to identify industry-specific requirements and tasks. Assess and select appropriate structured and unstructured data sources. Data Curation and Organization: Collect and preprocess data from authoritative sources (e.g., research papers, databases, manuals). Structure unstructured data using techniques like knowledge graphs. Implement data cleaning workflows to ensure high-quality input. Knowledge Integration: Embed knowledge bases into LLM workflows using tools like Pinecone, Weaviate, or Milvus. 2. LLM Fine-Tuning Fine-tune LLMs using frameworks such as Hugging Face Transformers or OpenAI APIs. Use domain-specific datasets to adapt base models to specialized industries. Apply transfer learning techniques to enhance model performance for niche applications. Monitor and improve fine-tuned models using validation metrics and feedback loops. 3. Prompt Engineering Design, test, and optimize prompts for industry-specific tasks. Implement contextual prompting strategies to enhance accuracy and relevance. Iterate on prompt designs based on system evaluations and user feedback. 4. Retrieval-Augmented Generation (RAG) Implement RAG workflows to integrate external knowledge bases with LLMs. Develop and optimize embedding-based retrieval systems using vector databases. Combine retrieved knowledge with user queries to generate accurate and context-aware responses. 5. System Integration Build APIs and middleware to interface between the LLM, knowledge base, and user-facing applications. Develop scalable and efficient query-routing mechanisms for hybrid retrieval and generation tasks. Ensure seamless deployment of LLM-powered applications. 6. Validation and Testing Evaluate model responses against domain-specific benchmarks and ground truths. Collaborate with domain experts to refine system outputs. Conduct user testing and gather feedback to improve system performance iteratively. 7. Maintenance and Updates Implement strategies to keep the knowledge base current with periodic updates. Develop monitoring tools to track system performance and identify areas for improvement. Address ethical, regulatory, and privacy considerations (e.g., GDPR, HIPAA compliance). Qualifications: Technical Skills Programming: Strong knowledge of Python and frameworks like Flask, FastAPI, or LangChain for API development. Data Preprocessing: Familiarity with preprocessing pipelines for structured and unstructured data. LLM Proficiency: Experience with LLM platforms such as OpenAI GPT, Hugging Face Transformers, or similar. Knowledge Base Management: Hands-on experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and relational databases (e.g., PostgreSQL, MySQL). Fine-Tuning Expertise: Proficiency in adapting LLMs for specialized domains using domain-specific datasets. RAG Implementation: Practical experience with retrieval-augmented generation workflows. Prompt Engineering: Ability to craft and optimize prompts for complex, context-driven tasks. Soft Skills Strong problem-solving skills and attention to detail. Ability to collaborate effectively with cross-functional teams, including domain experts. Excellent communication and documentation skills. Experience 6+ years of experience in AI/ML roles, focusing on LLM agent development and deployment in recent years. 2 + years would creating AI solution with langChain, experience. Demonstrated experience in designing domain-specific AI systems. Hands-on experience in integrating structured/unstructured data into AI models.

Job Title: AI Engineer Python. Location: Bangalore, India Onsite Job Summary: We are seeking an experienced AI Engineer with expertise in Python programming to design, develop, and deploy custom artificial intelligence (AI) applications on bare metal and privately deployed cloud platforms such as Red Hat OpenShift AI and VMware Cloud Foundation Private AI using NVIDIA Enterprise AI. The ideal candidate will have a strong background in Python software development, AI/ML frameworks, and model fine-tuning. Key Responsibilities: 1. AI Application Development & Deployment Design, develop, and deploy AI applications on bare metal and private cloud platforms (Red Hat OpenShift AI, VMware Cloud Foundation Private AI with NVIDIA Enterprise AI). Build scalable and high-performance AI solutions using Python. 2. Python Programming & Optimization Leverage advanced Python capabilities for AI applications, including: Optimized numerical computations (NumPy, SciPy) Concurrency and parallelism (multiprocessing, joblib) Advanced data structures and algorithms. 3. AI/ML Frameworks & Model Fine-Tuning Apply expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Develop and fine-tune AI models using techniques such as transfer learning and hyperparameter tuning. 4. Generative AI & LLMs Work with open-source LLMs and frameworks like LangChain, LangGraph, and Agentic flows. 5. Custom Model Development Design and implement custom AI models from scratch using Python and popular AI/ML frameworks. 6. System Integration & API Development Integrate AI applications with existing systems, data sources, and APIs for seamless functionality. 7. Testing, Validation & Optimization Develop and execute testing strategies to ensure the quality, reliability, and performance of AI applications. 8. Documentation & Communication Create comprehensive technical documentation. Communicate project progress, results, and recommendations to stakeholders. Technical Skills: Strong proficiency in Python. AI/ML frameworks: TensorFlow, PyTorch, Scikit-Learn, NLP, Machine Learning, Deep Learning, Langchain, LangGraph, RAG, Fine-Tuning. Data science libraries: NumPy, SciPy, Pandas.

Key Responsibilities and Skillsets Design, develop, and implement generative models using state-of-the-art techniques in AI and ML, such as GANs, VAEs and Transformer-based architectures Work on reinforcement learning and generative adversarial networks Familiarity with data engineering and big data technologies. Understanding AI deployment Strong programming skills in Python including TensorFlow, PyTorch, Keras, Apache Spark, Hugging Face transformers Comfortable working with large scale datasets, distributed computing frameworks Innovative thinker with a passion for exploring new ideas and pushing the boundaries of generative AI. Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying generative AI models. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience in natural language processing (NLP) and computer vision. Publications in top-tier AI/ML conferences or journals. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience in natural language processing (NLP) and computer vision.

Your Impact: We are seeking a skilled and experienced Lead Software Engineer with expertise in Large Language Models (LLM), Natural Language Processing (NLP), Java, Python, Kubernetes, Helm and cloud technologies like AWS. The ideal candidate will contribute to designing, developing, and maintaining scalable software solutions using microservices architecture and lead technical initiatives within the team. This role offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment . What the role offers: Lead the design, development, and maintenance of robust and scalable Java and Python-based applications leveraging microservices architecture. Integrate Large Language Models (LLMs) and NLP capabilities into business applications to enhance functionality and user experience. Designs enhancements, updates, and programming changes for portions and subsystems of application software, utilities, databases, and Internet-related tools. Analyses design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Develop RESTful APIs and ensure seamless integration across services. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Implement best practices for cloud-native development using AWS services like EC2, VPC, Lambda, S3, SageMaker etc. Deploy, manage, and scale containerized applications using Kubernetes (K8S) and Helm. Ensure system reliability, security, and performance through effective monitoring and troubleshooting. Drive technical strategy, mentor junior engineers, and foster knowledge-sharing within the team. Participate in code reviews, architectural discussions, and technical leadership initiatives. Ability to write good clean code on a day-to-day basis and actively participates in Code reviews. Leads a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high-quality solutions for assigned systems portion or subsystem. Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution. Represents the software systems engineering team for all phases of larger and more-complex development projects. What you need to succeed: Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically, 12+ years experience Mandatory Skills: Strong understanding of Large Language Models (LLM) and NLP techniques with experience applying them in real-world applications. Expertise in designing and developing RAG based Expertise with Python for LLM-related tasks Expertise of database systems like PostgreSQL. Expertise in transformer models (GPT-3, BERT, T5, etc.) and NLP techniques Experience working with NLP frameworks such as Hugging Face, OpenAI, or similar. Expertise in designing and implementing microservices architecture. Solid experience with AWS services like EC2, VPC, Lambda, SageMaker etc. for cloud deployment and management. Significant hands-on experience with Kubernetes for container orchestration, scaling, and Helm deployment in production environments Experience with event-driven architectures and distributed messaging systems (e.g., Kafka, RabbitMQ). Strong problem-solving skills and the ability to troubleshoot complex issues. Proven leadership experience with mentoring and guiding development teams. Strong knowledge of DevOps process and tools, continues integration and delivery. Experience with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform, CloudFormation). Ability to effectively communicate product architectures, design proposals and negotiate options at management levels. Strong experience in Java (Java 17+) and Python (3.x) development, with a deep understanding of frameworks such as Spring Boot, Hibernate, or Java EE. Expertise in designing and building microservices-based architectures using REST API standards. Ability to demonstrate effective teamwork both within the immediate team and across teams. Experience working with RDBMS Databases such as PostgreSQL, Oracle or MSSQL Server with good SQL knowledge. Experience in working with version control and build tools like GitLab, GIT, Maven, and Jenkins, GitLab CI. Expertise in implementing best practices for security, reliability, and performance in software systems. Strong problem-solving abilities and a track record of delivering solutions to complex technical challenges. Desirable Skills: Knowledge of additional database systems like MongoDB, or DynamoDB. Experience with observability tools like Prometheus, Grafana, or ELK Stack. Familiarity with infrastructure as code (IaC) tools such as Terraform or Ansible. Familiarity with Agile methodologies (SAFe agile, Scrum, Kanban) and experience leading Agile teams. A background in software security best practices and knowledge of Kubernetes security considerations.

Position Overview As the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role require Key Responsibilities Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team. Required skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. Additional skills (Good to have) Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins

JD For Lead Data Scientist What you should have? Bachelors degree in physics, Mathematics, Engineering, Metallurgy or Computer Science. MSc in relevant field - Physics, Mathematics, Engineering, Computer Science, Chemistry or Metallurgy. 8+ years of experience in Data science and Analytics delivery Deep knowledge of machine learning, statistics, optimization and related fields Hands on and deep expertise with R, Python programming. Machine learning skills : Experience with Natural Language Processing (NLP), Text mining, Text processing Deep learning skills : Understanding of deep learning techniques and experience with deep learning frameworks like TensorFlow, keras, Theano, Pytorch etc. Experience working with large data sets (Knowledge on getting data from cloud, Hadoop ecosystem) Data Visualization - Experience in one or more Data Visualization tools (MS Power BI, Tableau etc.) Data engineering - Hands-on in SQL and experienced in working with RDBMS for data extraction and data read/write. Understanding of Data Warehouse fundamentals (architectural layers & schema types) is a plus. Experience productionizing Machine Learning models, in the cloud (Azure, GCP or AWS preferred) Domain Experience in manufacturing industry, preferred. Demonstrated ability to nurture and lead technical talent. Track record of leading and successfully completing complex data science projects. Excellent with written and verbal communication and attitude to thrive in a fun, fast-paced startup-like environment. An attention to detail with self-discipline and a drive for results Demonstrated ability to work in ambiguous situations. Good at conceptualization and execution of projects Strong business acumen to connect technology and business. Good Time Management skills – ability to prioritize tasks and projects. Proactive approach to problem resolution, suggesting alternate solutions. Be able to work under tight deadlines & pressure without compromising on quality. Good communication and Strong Interpersonal Skills Worked in distributed/cross-functional teams. Positive attitude and a team player Key Responsibilities : As an AI Expert with minimum 10 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams. Your primary responsibility will be to provide guidance and expertise in the development and implementation of AI solutions. You will work closely with cross-functional teams to ensure successful integration of AI technologies into our products and services. Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning. Guide internal and external developers and helps to remove technical dependencies and impediments during the product development. Support Product Owner from a technical perspective Support in technical planning of the product Define enablers for the product backlog Consult AI Architect for questions regarding technical requirements Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process (taking part in necessary ceremonies, etc.) Provide technical expertise and guidance to development teams in the implementation of AI solutions. Analyze and understand technical requirements and propose AIbased solutions to address complex problems. Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives. Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process. Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization. Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews. Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques. Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization Manage delivery of analytical projects in partnership with business and IT Own KPI and business performance metrics jointly with business partners. Conduct advanced statistical analysis to provide actionable insights and identify trends. Build models with Python and machine learning libraries (Numpy, Pandas, Scikit Learn, Tensorflow, PyTorch) Building core of Artificial Intelligence and Cognitive Service as Vision, Text, NLP, NLU, and others. Capable of quickly becoming familiar with new approaches to Machine Learning. Exploring or working on some of the latest advancements in the deep learning space like TensorFlow, PyTorch Responsible for Data and Analytics insights delivery to business owner/client. Drive significant impact and value in building, growing Data Science Centre of Excellence. Provide machine learning methodology leadership. Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems. Work with fellow data scientists/SW engineers to buildout other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges. Practical experience in feature engineering and evaluation, automation of such tasks, model interpretation & visualization. Experience or willingness to learn and work in Agile and iterative development. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. Willing to work in fast-paced work environment. Partner with the business to understand the questions they are trying to address to unlock value, and the data they have or need to collect to address the question. Engage on a regular basis to refine opportunities and develop a pathway for value generating data projects. Assist in designing data capture / experimental setups for exploratory work, or changes in process / data capture in existing systems. Perform exploratory data analysis, using R or Python,and provide rapid iterations of analysis to refine posed problems, and identify potential solutions. Develop statistical models, algorithms and/or machine learning algorithms to analyse data and address a particular business question. Assist and supervise Data Engineers in developing and deploying production workflows for taking data in realtime or periodically from sites / business functions, passing the data through the developed models and producing the relevant reporting without human intervention. Work with and support data team in architecture of data warehousing and data-lake as required. Support the Model Architect within the relevant features to design training and deployment approaches for data science and machine learning model components. Perform solution research and rapid iterations of development to refine posed problems and identify potential solutions.

Role and responsibilities: Implement and supervise execution of review plans that meet both our standards and project specific requirements. Recommend and drive best practices in review as a trusted advisor to both internal and external stakeholders. Communicate directly with counsel, client, and review team on substance and progress of review. Assist in development of matter-specific review project plans that address review workflow strategy and optimal application of technology. Establish review quality control measures and manage document review teams to ensure adherence to our playbook, execution of throughput goals & quality deliverables. Collaborate with our teams, including AI experts and data project managers. Consult on technology efficiency drivers for redaction application and privilege logging. Provide client- and case-specific subject matter expertise. Provide feedback, training, and direction to Review Associates and Senior Associates while building cohesion within the team. Participate in process improvement initiatives and other related duties as assigned. Required skills and experience: 5+ years of experience as a document review manager with a review provider or law firm Bachelors or Masters degree in law Experience managing document review projects for complex financial services and pharmaceutical clients preferred. Experience managing non-litigation projects like data breach of contract extraction review projects a plus. Ability to lead and motivate diverse attorney teams in completion of review workflows while adhering to established accuracy targets, project timelines, and budget parameters. Self-motivated, with strong sense of ownership and commitment to client satisfaction Knowledge of litigation discovery process and objectives Strong written and oral communication skills suited to a client-facing role, careful attention to detail, and general technical aptitude. Ability to manage competing priorities and work independently or as part of a team. Proficiency as an end user in Relativity, Brainspace, Blackout or comparable platforms Experience establishing matter-tailored quality control measures and managing reviews across a variety of discovery matters.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

*Work from home opportunity* Need mainly from BSc- Physics/Chemistry/Mathematics and Finance and Accounting background.

you a Full Stack Engineer passionate about AI, automation , and transforming the way businesses communicate? At InfotechLaunch.com , were on a mission to modernize and automate mundane tasks through smart AI Voice Agents and advanced full-stack applications. Were looking for builders and problem-solvers engineers who dont just code but innovate, optimize, and deliver with passion and precision. This is a full-time, fully remote position for someone who thrives in a fast-paced environment, enjoys direct interaction with clients, and is committed to delivering AI solutions that work every time. Your Role Architect AI Voice Systems Build intelligent AI Voice Agents using Retell , Vapi.ai , and integrate OpenAI GPT-4 , Google Vertex AI , and custom LLMs. Implement natural-sounding conversations , task automation, and real-time event handling. Full-Stack Development Develop scalable, secure, and performant applications with Node.js , Python , Flutter , and React . Build intuitive frontends and powerful backends that integrate seamlessly with AI. Prompt Engineering & LLM Integration Craft effective prompts, design agent logic, and fine-tune LLM-based workflows for real-world tasks. Cloud Infrastructure & DevOps Design and manage cloud infrastructure on AWS , GCP , or Azure , with CI/CD pipelines , Docker , and Kubernetes . Automate testing, deployment, and monitoring of production environments. API & CRM Integration with Make.com Create smart automation using Make.com , Cal.com , Zapier , and integrate with CRMs like HubSpot , Zoho , and Pipedrive . Confidently read and implement API docs, troubleshoot and optimize flows. Direct Client Collaboration Work closely with clients to build, test, and refine solutions. Gather feedback, improve models, and deliver impactful outcomes. What We Expect 89 hours/day of focused, committed remote work Excitement to work with real clients and improve real products A passion for clean code , clear communication , and continuous improvement Required Skills 5+ years of experience in Full Stack Development (Node.js, Python, Flutter, React/Next.js) 23 years working with AI APIs , LLMs , and conversational AI workflows Experience building AI Voice Agents using Retell, Vapi.ai, or similar Deep knowledge of Prompt Engineering and LLM optimization Proficiency in Flutter for mobile and React/Next.js for web Cloud DevOps: AWS/GCP/Azure, CI/CD pipelines, Docker/Kubernetes Strong background in Make.com , Zapier, Cal.com, and REST API integrations CRM Integration: HubSpot, Zoho, Pipedrive Strong debugging, version control (Git), and documentation skills Bonus Skills Voice tech: Whisper, Google Speech, ElevenLabs AI search: LangChain, Pinecone, Weaviate NLP tools: spaCy, HuggingFace Transformers Payment/Bookings: Stripe, Twilio, Firebase Auth What You Get Opportunity to innovate real-world AI workflows Work from anywhere , flexible yet committed Performance-based compensation after 1st month Direct access to clients, decision-makers, and leadership Be part of a fast-growing company using AI to change industries Mentorship and guidance to advance your career and technical depth How to Apply Send us your: Resume / LinkedIn GitHub / Portfolio Details on past AI Voice Agent, Make.com, LLM work Note on why youre excited to automate the future with us! Skills : - AI Voice Agent, Full Stack Developer, Python, Node.js, Flutter, React, OpenAI, ChatGPT, Google Vertex AI, Conversational AI, Retell, Make.com, LLM, Prompt Engineering, Cloud Infrastructure, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Remote Work, AI Developer, API Integration, Digital Transformation, AI Applications, NLP, Speech Recognition, VOPI, AI Hiring, CRM Integrations

The Role: Our Operations is a diverse team that supports our customers in automating their workflows. The team relies on GenAI tools - both internal and external - to automate customer document review processes. It is a truly first-of-a-kind team in the world where a group of non-engineers are single handedly building and delivering powerful GenAI automations for customers at unprecedented speed and scale. We are looking for highly motivated individuals who are passionate about GenAI, Technology and our mission and can join our team to make significant contributions to help automate our customer workflows. Responsibilities: As a AI/Automation Specialist in a rapidly growing organization, your responsibilities will include: Becoming a Large Language Model Prompting expert - a ChatGPT whisperer. Develop a deep understanding of various customer requirements and use our GenAI platform to automate them. Stay on top of the latest tools and trends in GenAI and act as an internal evangelist. Help to create training materials and processes to increase GenAI platform adoption on the team, such as for, example, a highly structured prompt library. Perform detailed analysis of automation output (such as accuracy reports) to quickly identify trends that allow you to rapidly iterate. Work with Other functional leads within operations teams to constantly move the needle on automation. Need to connect and collaborate extensively with the engineering team based in the US to solve blockers and recommend improvements to the tools. Engage with customers and solicit feedback on the documents processed. You will love this job if you: Thrive in a fast-paced and ever evolving environment. Identify deeply with the work you do and want something more than a boring 9 to 5. Hold ourselves accountable for the output in a minimally supervised environment. Enjoy working in a cross-functional team and collaborate with sales executives, engineers and operations. Are intrigued by GenAI and technology. Enjoy working with a diverse team. Pay attention to detail and are able to perform well in high pressure situations. Preferred Qualifications: A degree from a recognized university. Relevant professional experience (1 - 4 years). Knowledge of GenAI and technologies used in the automation industry. Ownership to independently handle tasks and responsibilities; Ability to understand the business requirements and work alongside stakeholders Strong interpersonal and communication skills Ability to work in a collaborative and dynamic environment. Please Email your resumes to hiring@akrossit.com Work Location: In person

We are seeking an experienced and innovative AI Specialist to join our dynamic team. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, and neural networks, with a proven track record of designing, developing, and deploying AI solutions. The candidate should be adept at analyzing large datasets, developing optimized algorithms, and integrating AI models into production environments. This role offers the opportunity to contribute to cutting-edge AI applications that solve real-world problems and drive business value Key Responsibilities: AI System Design & Development: Design, develop, and implement AI systems and applications, including machine learning models, neural networks, and natural language processing (NLP) algorithms. Create and optimize AI algorithms for tasks such as image recognition, speech processing, and predictive analytics. Data Analysis & Feature Engineering: Analyze large datasets to identify trends, patterns, and actionable insights. Perform data preprocessing, data wrangling, and feature engineering to enhance model performance. Model Training & Optimization: Train and fine-tune machine learning models using labeled and unlabeled data to improve model accuracy and efficiency. Continuously monitor and optimize models for better performance. AI Model Integration: Deploy machine learning models into production environments, ensuring scalability and reliability. Integrate AI technologies with existing software and business processes using REST APIs. Utilize Docker and Kubernetes to containerize and manage AI models. Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies. Explore and experiment with new AI applications, tools, and methodologies to enhance system capabilities. Collaboration & Agile Development: Work closely with cross-functional teams in an Agile environment to develop AI-driven solutions that meet business requirements. Communicate findings and results to stakeholders, ensuring AI solutions align with business goals. Primary Skills and Qualifications: AI and Machine Learning Expertise: Strong knowledge of supervised and unsupervised learning techniques, including classification, regression, clustering, and reinforcement learning. Hands-on experience developing and deploying machine learning models in production environments. Technical Proficiency: Programming Languages: Advanced proficiency in Python, with additional experience in R and SQL as a plus. ML Libraries/Frameworks: Expertise in TensorFlow, PyTorch, and scikit-learn. Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for model deployment and management. Model Deployment & Integration: Familiarity with REST APIs, Docker, and Kubernetes for seamless model integration. Secondary Skills and Preferred Qualifications: Natural Language Processing (NLP): Experience with NLP frameworks such as NLTK, spaCy, Hugging Face, and BERT. Agile Methodologies: Knowledge of Agile practices, with experience using tools like JIRA for project management. Mathematics and Statistics: Strong foundation in probability, statistics, and linear algebra to support model development and evaluation. Data Handling & Preprocessing: Proficiency in data cleaning, transformation, and feature engineering to prepare data for modeling.

Location -Chennai MRC Nagar 5 days working from office Shift starts from 12/12:30 pm Job Title: NLP Researcher/Engineer About EXL Health Payments Analytics Who are we: EXL Service is a NASDAQ listed global analytics and digital solutions company with $1Billion+ revenue serving industries including insurance, healthcare, banking and financial services, media, retail etc. EXL Health contributes to $300M+ of which the Payment Integrity business contributes to $160M+. We are hiring for the EXL Health Payment Integrity's Analytics Center of Excellence (ACOE) team in Chennai: We are passionate individuals with growth/startup mindset to experiment, fail fast, learn, and contribute to our 5-fold growth story of 100M to 500M in 5 years. Our typical day: We are considered as a Digital ACOE for payment integrity by 5 of top 10 health insurance companies. We deal with billions of records each month. We do not charge these clients any consulting or resource-based billing upfront unlike typical analytics service companies, instead we make money by finding money/savings for these insurance companies. Position Overview: EXL Healthcare is seeking an NLP Researcher/Engineer with expertise in the latest generative AI/NLP stack to join our cutting-edge AI team. The ideal candidate is a self-starter with a strong passion for NLP and machine learning, demonstrated experience with large-scale text data, and a track record of building high-performance models. You will be responsible for developing and implementing state-of-the-art NLP models and algorithms, including Large Language Models (LLM). Working closely with a team of data scientists, engineers, and domain experts, you will create solutions that extract valuable insights from complex datasets, directly impacting our products and services. Key Responsibilities: Design, develop, and deploy NLP models and algorithms, including LLM. Preprocess and clean large text datasets for analysis and modeling. Conduct exploratory data analysis (EDA) to understand data patterns. Implement machine learning and deep learning models to solve NLP problems. Optimize and fine-tune LLM/DL models for performance and scalability. Collaborate with cross-functional teams to integrate NLP solutions into products and services. Stay up to date with the latest research in NLP, machine learning, and LLMs. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and visualizations. Required Skills: Strong background in NLP, machine learning, and experience with LLMs. Proficiency in Python and SQL. Experience with NLP libraries/frameworks such as NLTK, spaCy, PyTorch, Hugging Face, LangChain, or LlamaIndex. Familiarity with data preprocessing techniques for large-scale text data. Experience with cloud platforms (e.g., AWS, GCP, Azure). Experience with LLM fine-tuning, RAG, PEFT, or Agent frameworks is a plus. Preferred Skills: Experience with fine-tuning and deploying transformer-based models for various NLP tasks. Knowledge of transfer learning and domain adaptation techniques for NLP. Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience with deploying models, including LLMs, in a production environment. Education: Bachelors and/or Master's in any Science/Engineering field.

AI/ML Lead Experience: 6-10 Years Exp. Salary : INR 20,00,000-40,00,000 / year Preferred Notice Period : Within 30 Days Shift : 09:00AM to 6:00PM IST Opportunity Type: Onsite (Aurangabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Gen AI, LLM, Pytorch, TensorFlow, Machine Learning, NLP Good to have skills : Architecture, ML Model Design, Cloud Server (Google / AWS) STL - Sterlite Technologies Limited (One of Uplers' Clients) is Looking for: AI/ML Lead who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description As a Lead Engineer, your impact will be to maintain and engineer data engineering, development, optimization and deployment of deep learning models for fiber optic sensors and be the cornerstone of defining software architecture for this exciting business unit. Role Title AI/ML Lead Role Purpose Responsible for developing and deploying the ML tools for the Fiber sensing system What the role entails (Key Responsibilities) Driven by innovation, design, plan and implement Data & (Gen)AI architectures including the associated roadmaps, where you work together with Enterprise Architects and Senior Management up to C-Level on the customer side Design and set up experiments for collecting, labeling, analyzing data of different kinds of events from fiber based sensor solutions i.e. establish and lead data engineering practices and pipelines. Assess the effectiveness and accuracy of data sources and data-gathering techniques ¢ Develop automation methods for faster labeling of collected data ¢ Create architectural approaches for AI software and hardware integration ¢ Define AI solution objectives and ensure alignment with business outcomes ¢ Implement best practices for AI testing, deployment, and maintenance ¢ Develop Machine Learning and Deep Learning methods for event detection and classification ¢ Develop efficient frameworks for training and evaluating the event detection/classification models ¢ Track the innovations in AI/ML technologies and algorithms/processing/ computation and its implementation to develop next-generation fiber sensing solution ¢ Review and Optimize existing code/algorithm ¢ Create systematic plans to run the experiments to fine-tune the event detection/classification models ¢ Plan the tasks and provide estimates and timelines ¢ Support marketing/sales team with application notes, white papers and presentations ¢ Contribute to simulation model development and data analysis of various sensor solutions ¢ Central point of contact, engineer and maintain external consultant work packages. ¢ Central point of contact, design and plan software architecture, testing and reliability criteria for on-edge and cloud-based software. What we are looking for in you ¢ Experience in designing AI applications and knowledge of machine learning frameworks like TensorFlow or PyTorch ¢ Proven ability to lead and manage AIML projects with cross-functional teams ¢ Strong communication skills to effectively collaborate with various stakeholders ¢ Critical thinking and problem-solving skills are essential ¢ Experience with ethical AI practices and ensuring compliance with data protection regulations ¢ Tinkering mindset, ability to find solutions in complex situations to satisfy business needs, ability to think on your feet. ¢ Excellent problem-solving, analytical, and communication skills ¢ Rigorous understanding of the fundamentals of Statistics, Classical Machine Learning and Deep Learning ¢ Experience with data tools and data pipelines ¢ Experience working on both local machines or cloud platforms such as AWS, Azure and, preferably GCP ¢ Experience putting models into production ¢ Experience of CI/CD guidelines and associated tools such as Jenkins, GitLab or CircleCI is a plus but not mandatory. ¢ Experience of containerization technologies and microservices architecture is a plus but not mandatory. Location Aurangabad Experience & Education BTech/MTech/MS/PhD in Computer Science/Software Engineering/Data Science or related discipline with 6-10 years of relevant experience How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: STL is a leading global optical and digital solutions company providing advanced offerings to build 5G, Rural, FTTx, Enterprise and Data Centre networks. The company, driven by its purpose of Transforming Billions of Lives by Connecting the World, designs and manufactures in 4 continents with customers in more than 100 countries. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!