205 Ml Models Jobs - Page 2

We are hiring an experienced ServiceNow AI Developer/Consultant with 410 years of experience to design and implement AI-powered features, intelligent workflows, and automation solutions within the ServiceNow platform The candidate must have strong experience in ITSM (mandatory) and ServiceNow core modules, along with hands-on exposure to AI technologies such as Virtual Agent, Now Assist, NLU, and Predictive Intelligence Responsibilities include configuring ServiceNow modules with AI enhancements, developing Virtual Agent topics, integrating external LLMs (OpenAI, Azure AI), setting up NLU models, customizing AI use cases (e g , incident summarization), and building custom ML solutions using ...

This role has been designed as 'Onsite with an expectation that you will primarily work from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If ...

Company Description Bionesca is a cutting-edge AI-dermatology platform focused on creating personalised, data-driven personalised skincare solutions. We are developing a data-driven, digital first assessment tool that leverages dermatological insights, clinical actives, and AI-driven analysis. We are now looking for a talented Full-Stack Engineer to help us connect our front end to the backend, implement the product-matcher algorithm, and complete our website. Role description As our Full-Stack Engineer, you will take ownership of connecting the React front end with our Supabase backend, integrating AI models into the workflow, and helping build a robust recommendation engine. You'll work cl...

As an AI Practitioner Industrial Relations at People Tech Group, you will play a key role in designing, deploying, and managing AI-driven systems to enhance employee relations, labor compliance, workforce insights, and organizational decision-making. Your responsibilities will include: - Developing and executing an AI roadmap customized for Industrial Relations and workforce governance. - Implementing predictive models to forecast grievances, attrition, engagement drops, labor risks, and compliance gaps. - Building AI-driven dashboards for real-time insights on workforce sentiment, employee pulse, and escalations. - Using NLP, computer vision, and ML models to analyze employee feedback, grie...

About the Company: Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business Join us! We're seeking a He...

Develop and deploy ML models and APIs Perform data preprocessing and feature engineering Optimize model performance and collaborate with cross-functional teams Maintain model documentation and versioning

Data Scientist Experience: 2 - 5 Years Exp. Salary : INR 20-25 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Office , Bengaluru, Karnataka Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Machine Learning, Scikit-learn, PyTorch, TensorFlow, Ml models, Python, SQL Digitap (One of Uplers' Clients) is Looking for: Data Scientist 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 Des...

5+ years of working experience of in-vehicle software development in Automotive OEMs or Tier 1 Suppliers Should have thorough knowledge of Automotive software development and validation Experience in leveraging AI (including a Programming language like Python or Scala, working with ML models and AI services on the cloud like AWS AI services) Knowledge of DevOps tools and processes A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document...

As a Senior Engineer in SAP BODS, your role will involve the following key responsibilities: - Designing and implementing data integration solutions across SAP and non-SAP systems - Hands-on experience in SAP BODS, including data flows, workflows, transforms, and job scheduling - Proficiency in ETL design and optimization for handling large volumes of structured and semi-structured data - Experience with data migration, cleansing, and transformation across Enterprise Data Warehouse systems - Solid understanding of SQL, PL/SQL, and database performance tuning - Knowledge of data quality management, error handling, and exception reporting - Exposure to cloud data platforms such as AWS Redshift...

This opportunity is for candidates who are currently in Hyderabad, can attend the interview in Hyderabad, and are willing to relocate to Pune, Bangalore, Mumbai, Gurgaon, or Coimbatore after selection Key Responsibilities Team Leadership & Management Lead and manage a team of 510 AI engineers, ML engineers, and data scientists. Conduct performance reviews, provide mentorship, and support individual career growth. Foster a collaborative, innovative, and learning-focused team culture. Oversee resource allocation, workload distribution, and overall team productivity. Technical Leadership Design and develop AI models and algorithms from scratch. Implement AI solutions integrated with existing bu...

Role Overview: As a Senior Algorithm Software Engineer at Solera, you will play a leading role in developing improvements and enhancements to transportation routing and scheduling algorithms. Your responsibilities will include analyzing, designing, programming, and debugging algorithm enhancements. You will also be involved in presenting technical documentation to the team and stakeholders. About 75% of your role will focus on development, while the remaining 25% will involve system maintenance and support. Additionally, you must possess solid communication and team-building skills to participate in software design discussions and guide the architecture of solutions based on object-oriented ...

About the role: The Demand Analytics team within the Business Technology and Insights group at Gartner is at the forefront of harnessing AI to better anticipate, forecast and predict the future needs of the global C-suite. We are looking for a Senior Director who is a highly analytical problem solver, possesses hands-on experience leveraging AI / ML models and is well-versed in LLM model development / fine tuning. This individual will be a player-coach to members of the team in India and should be comfortable rolling up their sleeves to get the job done as well as leading strategic initiatives. This role will primarily focus on managing the end-to-end life cycle of all data science and AI pr...

Key Responsibilities: Design and implement Generative AI applications using LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks. Develop and fine-tune LLMs leveraging frameworks such as LangChain, Hugging Face Transformers, and LangGraph. Build prompt engineering pipelines and ensure optimal model performance for specific business use cases. Implement MLOps practices for model versioning, training automation, and continuous integration using MLflow, AWS SageMaker, or Azure ML. Architect and optimize vector database integrations (e.g., FAISS, Pinecone, Chroma, Weaviate). Work closely with data engineers and product teams to operationalize AI workflows. Deploy, monitor, and o...

Minimum qualifications: Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience. 15 years of experience working as a technical software engineering leader. Experience in technical leadership. Engineering experience in AI with a focus in Applied AI or GenAI, software development and implementation. Engineering experience building large-scale consumer products with users. Preferred qualifications: Master's degree or PhD in Computer Science or related field. 15 years of professional experience in engineering. Deep technical expertise in building large-scale machine learning systems, and solid knowledge of ML models/algorithm design/implementat...

Bachelors or masters degree in computer science, Engineering, Mathematics, or related field 5+ years experience in Python development, with a strong emphasis on data engineering Proven experience with AWS cloud services for data engineering and analytics Expertise in designing algorithms and system architectures for high-performance data processing Strong hands-on experience with ETL frameworks, data warehousing, and distributed systems (eg, Spark, Hadoop) Deep understanding of database technologies (SQL, NoSQL) and data modeling Experience with logging, monitoring, and dashboarding tools (eg, CloudWatch, Grafana, DataDog) Experience with big data tools and stream processing (Kafka, Flink) E...

Job Overview: We are seeking a Data Scientist to build, deploy, and optimize machine learning and AI models for predictive and generative applications The role involves handling data preprocessing, model training, fine-tuning, and collaborating with GenAI developers to integrate models into production systems The ideal candidate will work with cloud ML platforms and leverage modern ML/AI frameworks to deliver scalable, high-performance solutions Key Responsibilities: Build and deploy ML/AI models for predictive and generative tasks Perform data preprocessing, feature engineering, model training, and fine-tuning Collaborate with GenAI developers and engineering teams to integrate models into ...

About The Role As a Senior Product QA Developer, you will join a Product Engineering team of bright, talented developers, data scientists and designers working hard to create phenomenal user experiences for our customers. You will be very familiar with agile development processes. This is a great opportunity for you to gain domain expertise in software that supports and delivers growth to the Manufacturing, Distribution, Retail, or Service industries . Your possible projects include developing and enhancing functionality, web-enabling products, or extending our mobile and SaaS / Cloud offerings using Artificial Intelligence and Machine Learning. What You'll Do Work as part of cross functiona...

Product Based IT Company Developing and maintaining our Python and PySpark based applications. Closely work with data engineers, scientists and other stakeholders to implement data pipelines and high performance across our data processing systems. Required Candidate profile 5+ years of experience in Python PySpark development Python, PySpark, Big Data, Distributed Computing, ETL Processes, SQL, Data Engineering, Cloud Computing (Azure), Data Warehousing, Apache Spark

What you bring in: 5+ years of experience in designing, developing, and deploying ML models at scale, with a focus on NLP-driven solutions. Strong background in Natural Language Processing (NLP), including text classification, entity recognition, language modeling, and transformer-based architectures. Experience in building and deploying models at scale, handling millions of messages efficiently while maintaining performance and accuracy. Also working with on-device models. Ability to not only build ML models but also take ownership of deploying them into production, ensuring scalability, reliability, and monitoring. Knowledge of anomaly detection, adversarial ML techniques, and risk modelin...

Role Overview: As a Senior Technical Architect at our company, you will lead the design and evolution of our next-generation technology stack. Your role will involve defining system blueprints, ensuring technical excellence, and guiding development teams in translating vision into execution. You will play a crucial role in bridging business goals with architectural strategy to ensure our products remain agile, secure, and ready for scale. Key Responsibilities: - Define and govern system architecture for large-scale SaaS and AI-based platforms using microservices, APIs, and event-driven paradigms. - Evaluate emerging technologies such as AI/ML, data orchestration, cloud-native design, and LLM...

Role Overview: You will play a crucial role as a Data Scientist at Google, supporting the worldwide user base by providing quantitative support, market understanding, and a strategic perspective to partners across the organization. Your expertise in analytics will help partners make informed decisions based on data insights. Collaborating with teams, you will apply Google's best Data Science techniques to the enterprise's biggest opportunities, working with Research, Core Enterprise ML, and ML Infrastructure teams to develop solutions. Key Responsibilities: - Define and report Key Performance Indicators and launch impact during regular business reviews with cross-functional leadership teams ...

As a Software Engineering Manager at Google, you will have the technical expertise to take on and provide technical leadership to major projects, as well as manage a team of Engineers. Your responsibilities will include overseeing projects, optimizing code, managing project goals, contributing to product strategy, and developing your team. You will work in various areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, and user interface design. Key Responsibilities: - Create goals for the problem spaces, provide technical guidance, drive execution, and advocate adoption of standard pro...

Senior Software Engineer Be a part of a team that's ensuring Dell Technologies product integrity and customer satisfaction. Our IT Software Engineer team turns business requirements into technology solutions by designing, coding and testing/debugging applications, as well as documenting procedures for use and constantly seeking quality improvements. Join us as a Senior Software Engineer in our Software Engineering team in Bangalore to do the best work of your career and make a profound social impact. What You'll Achieve As a Senior Software Engineer, you will deliver products and improvements for a changing world. Working at the cutting edge, you will craft and develop software for platforms...

Synopsis of the role Understand client's business requirements in terms of analytical needs and be a part of a High-class delivery team to deliver unparalleled analytical solutions using best in class analytical techniques. What You'll Do Be the innovation champion in the organization and help us build new solutions leveraging Equifax data assets Ability to understand BFSI business problems and consult client on the appropriate solutions Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs Contribute to building the BFSI Analytics practice through on- going identification of new opportunities Provide hands-on support to the project team in d...

Role Overview: You will lead and direct a team, as well as stand-up, direct, and lead PODs (virtual) teams to achieve the annual objectives for the business and team using advanced analytics. Your role will involve developing, mentoring, and coaching individual team members to share knowledge, grow the team, and ensure strong succession plans are in place. You will encourage empowerment, responsibility, and collegiality throughout the team and work towards becoming a destination for talent through branding, community, and academic partnerships. Additionally, you will play a key role in project prioritization and planning within your team, acting as a key partner to the business and an advoca...