50 Ml Frameworks Jobs - Page 2

Position: Senior AI/ML Engineer (68Years) – GeoAI & Conversational Systems Location:Hyderabad Team: GeoAI & Intelligent Assistants About the Role We’re seeking a seasoned AI/ML expert with 6–8years of handson experience—particularly in geospatial intelligence (GeoAI) and conversational AI—to own the endtoend design, development, and deployment of advanced machinelearning solutions, including chatbots and “copilot” assistants. You will collaborate with GIS engineers, data scientists, and product teams to build systems that understand spatial data, power decisionsupport interfaces, and engage users via natural language. Key Responsibilities GeoAI Model Development: Architect and train spatialanalysis models (e.g., landuse classification, object detection in satellite/drone imagery, changedetection pipelines) Integrate geospatial features into ML workflows (e.g., spatial joins, coordinatebased embeddings, topological data structures) Conversational AI & Copilot Systems: Design, finetune, and deploy large language models (LLMs) for domainspecific chatbots and copilots Implement NLU/NLG pipelines (intent/entity extraction, dialogue management, context handling) Build guidance interfaces (“copilots”) that assist users—e.g., query GIS datasets, autogenerate map legends, suggest spatial analysis steps Productionization & MLOps: Containerize ML services (Docker/Kubernetes), set up CI/CD for model training and serving Monitor model performance in production, implement A/B testing and continuous learning loops Data Engineering & Integration: Build and maintain ETL pipelines for largescale spatial and tabular datasets Optimize geospatial databases (PostGIS, GeoMesa) and timeseries stores for ML feature retrieval Collaboration & Leadership: Mentor junior ML engineers and data scientists on best practices in GeoAI and NLP Partner with product managers to translate requirements into technical specifications and roadmaps Conduct code reviews, design reviews, and knowledgesharing sessions Required Qualifications Experience: 6–8years in applied AI/ML roles, with at least 2years focused on geospatial machine learning and 2years on NLP/Conversational AI Technical Skills: Proficient in Python and ML frameworks (TensorFlow, PyTorch, ScikitLearn) GeoAI libraries: Rasterio, GDAL, GeoPandas, PyProj, or similar NLP/LLM toolkits: Hugging Face Transformers, Rasa, Dialogflow, or equivalents Experience finetuning and deploying LLMs (GPTseries, LLaMA, etc.) and integrating with vector databases (Pinecone, Qdrant) Strong data engineering skills: SQL, PostGIS, Apache Spark or Dask for largescale processing DevOps & MLOps: Containerization (Docker), orchestration (Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions) Monitoring/logging (Prometheus, ELK/EFK stacks) and A/B testing frameworks Problemsolving & Ownership: Demonstrated ability to own features endtoend, from design through production Strong analytical mindset, with experience troubleshooting model drift, performance degradation, and bias Communication & Leadership: Excellent verbal and written communication in English Proven mentorship of junior engineers and ability to lead crossfunctional technical discussions Preferred (NicetoHave) Experience with realtime spatial analytics (e.g., streaming telemetry from IoT devices, geofencing alerts) Familiarity with cloudnative geospatial platforms (AWSGround Station, Google Earth Engine, Azure Maps) Background in userexperience design for chatbots or voice assistants (e.g., conversational UX best practices) Publications or opensource contributions in GeoAI or NLP

The Machine Learning Engineer (Azure Databricks) position is available in Navi Mumbai, Bengaluru, Pune, Gurugram, and Chandigarh. We are looking for a skilled individual with at least 3 years of relevant experience in Python, data science, ETL, advanced Python, machine learning, ML frameworks, Azure Cloud, and Databricks. Familiarity with deep learning, NLP, computer vision, and Python for image processing is also desired. As a Machine Learning Engineer, you will be responsible for leading machine learning projects, developing and optimizing algorithms, preparing and transforming datasets, evaluating model performance, and deploying models in production environments. Collaboration with cross-functional teams and basic understanding of DevOps practices are essential for success in this role. The ideal candidate will have hands-on experience in Python, advanced Python coding, machine learning model development, ML frameworks like Scikit-learn or TensorFlow, Azure cloud services, Databricks, and basic DevOps knowledge. An understanding of deep learning principles, NLP, computer vision, and image processing libraries is beneficial. If you join our team, you can expect opportunities for learning and certification, comprehensive medical coverage, a flexible work environment, and a fun, collaborative, and innovative workplace culture. We are committed to your professional growth and well-being, offering a supportive and dynamic environment to thrive in the field of AI and ML.,

As an experienced Machine Learning Engineer with 5 to 7 years of experience in Pune, you will play a crucial role in developing, training, and fine-tuning Machine Learning models for AI/ML applications. Your responsibilities will include designing and implementing data pipelines for data processing, model training, and inference. You will be tasked with deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will be an essential part of your role. Additionally, you will be expected to research and implement various ML and AI techniques to improve performance. To excel in this position, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, and PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, is required. Familiarity with Docker and container-based deployments for creating cloud-agnostic products is essential. A strong understanding of AI and Machine Learning concepts, including Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning, is crucial. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is expected. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be beneficial, along with an understanding of various Statistical models.,

Chennai, India Role Overview We are looking for an exceptional ML Engineer who can help us to provide a great user experience while we wow our users with the power of AI for advanced document understanding. Strong working knowledge of using Python is critical for this position. This is an exciting opportunity to work closely with our platform team and help drive our technology forward bridging the gap between research & engineering in the field of machine comprehension. If you want to realign your career towards Machine Learning/Artificial Intelligence, look no further. This position offers an opportunity to work closely with best of minds in this field and to learn the tricks by doing amazing things along with them. In this role you will focus on developing engaging interfaces for our users, enhancing the AI experience they get in our platform. You will enable people by making their work of reading documents enjoyable through blending the power of AI with rich UX in our first of its kind DIY SaaS for advanced document understanding using AI. Qualifications Excellent problem-solving skills and critical thinking abilities. Solid experience in machine learning, deep learning, and large language models. Expert proficiency in Python. Familiarity with LLMs like Llama, Zephyr, Mistral, and OpenAI APIs. Experience with transformer models (BERT, GPT, RoBERTa, etc.). Knowledge of ML frameworks (PyTorch, Langchain, Spacy, etc.). MLOps infrastructure development experience. 2-5 years of experience in AI/ML in the software industry. Roles and Responsibilities Develop and Implement ML Models: Design, build, and deploy advanced machine learning models, with a focus on Large Language Models (LLMs) and Deep Learning Model Optimization: Fine-tune models to improve performance, latency, memory efficiency, and throughput. Software Development: Apply strong programming skills, particularly in Python, to create robust AI solutions. MLOps Infrastructure: Construct and manage infrastructure for ML experimentation, A/B testing, and production deployment. LLM Pipeline Development: Oversee LLM pipelines using frameworks like Langchain, LlamaIndex, etc. AI Solutioning: Collaborate with cross-functional teams to devise AI solutions for complex business challenges.,

We are seeking a highly skilled Data Scientist with a strong background in the credit card domain to join our dynamic team in Dubai This is an exciting opportunity to work onsite with a fast-paced and growing startup, where you will leverage your expertise in Python, SAS, and advanced analytics to drive impactful business decisions You will play a pivotal role in analyzing large datasets, developing predictive models, and delivering actionable insights to stakeholders across product, risk, and marketing teams We are a new-age Data & Analytics firm offering contemporary solutions and infinite possibilities Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations Established in 2022, we provide end-to-end Data & Analytics services and are headquartered in the UAE, with operational bases in India and the UK Comprising industry veterans, we empower data and analytics transformations powered by expertise in Data Engineering, Analytics, AI, true partnership, and our unique Data to Value approach About the Role: We seeking a highly skilled and experienced Principal Data Scientist with specialized expertise in banking and financial services The successful candidate will lead innovative data science initiatives focusing primarily on marketing analytics, cross-sell strategies, and pricing models You will collaborate closely with cross-functional teams to address complex business challenges using advanced analytics, machine learning, and statistical techniques, significantly contributing to the business growth and success of our banking clients Key Responsibilities: Lead strategic, end-to-end data science projects in the banking domain, specifically focusing on marketing analytics, cross-selling, customer lifetime value modeling, and pricing strategies Design, develop, and deploy sophisticated machine learning models, predictive analytics, and statistical models to enhance marketing effectiveness and optimize pricing strategies Partner closely with business stakeholders to translate complex business challenges into actionable analytical solutions and clearly communicate analytical outcomes and insights Collaborate effectively with Data Engineering and Analytics teams to ensure robust data pipelines and seamless integration of analytical solutions Provide technical leadership, mentorship, and guidance to junior data scientists and analysts, fostering a culture of innovation, continuous learning, and excellence Present clear and impactful insights to senior stakeholders and business leaders, driving data-driven decision-making at the organizational level Continuously explore and incorporate emerging technologies and methodologies within data science, marketing analytics, and pricing strategies Required Skills & Qualifications: Masters or PhDdegree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline 6+ years of hands-on experience in advanced analytics/data science roles specifically within banking or financial services (mandatory) Demonstrated expertise in marketing analytics, cross-sell modeling, customer segmentation, pricing optimization, and customer lifetime value analytics Proficiency in SAS/ Python/R, SQL, and key ML frameworks and librariesStrong understanding of statistical methodologies, machine learning, deep learning algorithms, and data visualization tools Experience working with Dataiku is advantageous Exceptional problem-solving, analytical thinking, communication, and stakeholder management abilities

We are seeking a talented and passionate AI/ML Engineer to design, develop, and deploy intelligent systems and machine learning models. You will be instrumental in translating complex data insights into practical, scalable AI solutions that drive innovation and solve real-world problems. This role involves the full lifecycle of AI/ML development, from data exploration and model training to deployment and monitoring. Key Responsibilities (Summarized): Develop, train, and deploy machine learning and deep learning models. Analyze and preprocess large datasets for AI model development. Implement AI/ML algorithms and integrate solutions into existing systems. Optimize model performance and ensure scalability of AI applications. Collaborate with data scientists, software engineers, and product teams. Mandatory Skills: Programming: Python (Expert) ML Frameworks: TensorFlow, PyTorch, Scikit-learn Concepts: Machine Learning, Deep Learning, Statistics, Algorithms Data: Data Preprocessing, Data Analysis Preferred Skills (Optional, if applicable): Experience with specific domains (e.g., NLP, Computer Vision). Cloud platforms (AWS, Azure, GCP) for MLOps. Docker, Kubernetes.

We are looking for a highly motivated and skilled Data Scientist with 5 years of experience. The ideal candidate should be proficient in Python, ML frameworks, and statistical modeling. You will develop machine learning models, analyze large structured and unstructured datasets, and provide actionable insights to drive business decisions. The role requires strong analytical thinking, effective communication, and hands-on experience with modern data science tools and libraries. You'll work closely with cross-functional teams, enabling data-driven strategies that impact core business outcomes.

We seek a hands-on Delivery Lead with 1012 years of experience to own end-to-end execution of AI/ML projects, mentor technical teams, and collaborate with sales to scale our consulting solutions. Key Responsibilities 1. Project Delivery Own client-facing AI/ML projects from scoping to deployment, ensuring quality, timelines, and business impact. Guide teams on architecture, model design, and deployment (cloud/on-prem). 2. Team Leadership Lead and mentor data scientists/engineers, fostering skill growth and collaboration. Drive best practices in AI/ML (LLMs, MLOps, Agile). 3. Sales Collaboration Partner with sales to scope proposals, estimate efforts, and present technical solutions to clients. Must-Have Skills 10-12 years in AI/ML, with 5+ years leading teams in consulting/client delivery. Expertise in: o AI/ML frameworks (TensorFlow, PyTorch, LLMs). o Cloud platforms (AWS/Azure/GCP) and CI/CD pipelines. o Python/R, data engineering (Spark, Kafka). Strong communication and client/stakeholder management. Good to Have Familiarity with MLOps (Docker, Kubernetes). Agile/Scrum certification. Qualifications Bachelors/Masters in CS, Data Science, or related field. Certifications (e.g., AWS ML, Azure AI Engineer) are a plus.

BMC is looking for a Java Tech Lead, an innovator at heart, to join a team of highly skilled software developers, responsible for BMCs Helix Capacity Optimization product. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Play a vital role in project design to ensure scalability, reliability, and performance are met Design and develop new features as well as maintain existing features by adding improvements and fixing defects in complex areas (using Java) Design and maintain robust AI/ML pipelines using Python and industry-standard ML frameworks . Collaborate closely with AI researchers and data scientists to implement, test, and deploy machine learning models in production. Leverage prompt engineering techniques and implement LLM optimization strategies to enhance response quality and performance. Assist in troubleshooting complex technical problems in development and production Implement methodologies, processes & tools Initiate projects and ideas to improve the teams results On-board and mentor new employees To ensure youre set up for success, you will bring the following skillset & experience: Backend Development: FastAPI, RESTful APIs, Python Cloud Infrastructure: AWS, EKS, Docker, Kubernetes AI/ML Frameworks: LangChain, Scikit-learn, Bedrock, Hugging Face (optional to add if applicable) ML Pipelines: Python, Pandas, NumPy, joblib DevOps & CI/CD: Git, Terraform (optional), Helm, GitHub Actions LLM Expertise: Prompt engineering, RAG (Retrieval Augmented Generation), vector databases (e.g., FAISS, Pinecone) You have 12+ years of experience in Java Backend development You have experience as a Backend Tech Lead You have experience in Spring, Swagger, REST API You worked with Spring Boot, Docker, Kubernetes You are a self-learner whos passionate about problem solving and technology You are a team player with good communication skills in English (verbal and written) Whilst these are nice to have, our team can help you develop in the following skills: Public Cloud (AWS, Azure, GCP) Python, Node.js, C/C++ Automation Frameworks such as Robot Framework

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

The Role As a Data Scientist, you will: Collaborate closely with the global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data. This will support data insights and analytical needs across various products, markets, and services. Focus on building solutions using Machine Learning and generating actionable insights to support product optimization and sales enablement. Prototype new algorithms, conduct experiments, evaluate results, and deliver actionable insights that drive business value. Drive the evolution of products with a strong impact on data science and engineering, ensuring data-driven decisions. Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high-volume, high-dimensionality data to facilitate data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques, and technologies to solve complex business problems and generate valuable business insights and recommendations. Apply your knowledge of metrics, measurements, and benchmarking to develop complex and demanding solutions. Qualifications A superior academic record from a leading university in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field, or equivalent work experience. Proven experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis. Strong analytical skills with a track record of translating complex data into compelling insights. Prior experience working in a product development role. In-depth knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Proficiency in using Python/Spark, Hadoop platforms & tools (e.g., Hive, Impala, Airflow, NiFi), and SQL to build robust Big Data products & platforms. Experience with Enterprise Business Intelligence Platforms/Data Platforms (e.g., Tableau, PowerBI) is a plus. Demonstrated success in interacting with stakeholders to understand technical needs and ensuring analyses and solutions effectively meet those needs. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work effectively in a fast-paced, deadline-driven environment, both as part of a team and as an individual contributor. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, it is expected that every person working for, or on behalf of, Mastercard, is responsible for information security and must: Abide by Mastercard's security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach. Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

System Analsyt -Data Scientist lead Job Title: System Analyst Data Scientist Lead Location: Pune Kalyani Nagar Shift Timing: General Shift Experience: 7-15 years (Minimum 2 years in a leadership/management role) About Cybage: Cybage Software is a technology consulting organization and the head office is in Pune; you will get an opportunity to be a part of highly skilled talent pool of more than 7000 employees. We have our operations hub in GNR and Hyderabad as well and we have also marked our presence in USA, UK, Japan, Germany, Ireland, Canada, Australia, and Singapore. We provide seamless services and dependable deliveries to our clients from diverse industry verticals such as Media and Advertising, Travel and Hospitality, Digital Retail, Healthcare and Life Sciences, Supply chain and logistics, and Technology. Role Overview We are looking for a dynamic and experienced System Analyst Data Scientist Lead to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value. Skills required: Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role. Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG). Experience in time series forecasting, statistical modeling, and predictive analytics. Hands-on experience with Databricks, Azure ML stack, Python, and Django. Solid understanding of end-to-end data science workflows, from data engineering to model deployment. Ability to collaborate across diverse teams and communicate technical concepts clearly to stakeholders. Responsibilities: Build and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment. Implement supervised, unsupervised, and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Collaborate with data scientists and engineers to integrate ML models into production systems. Use MLOps tools like MLflow or Kubeflow for CI/CD and model lifecycle management. Monitor and optimize deployed models for performance and scalability. Stay updated on ML advancements and contribute to innovation within the team. Shift timings General shift Location Pune-Kalyani Nagar Its good to have: 60% & above in any two of the following and 55% & above in the third Secondary, Higher Secondary (or it s equivalent) and Graduation level (aggregate) Strong Communication & interpersonal Skills.

Strong knowledge of Python, R, and ML frameworks such as scikit-learn, TensorFlow, PyTorch. Experience with cloud ML platforms: SageMaker, Azure ML, Vertex AI.LLM Experience such as GPT Hands-on experience with data wrangling, feature engineering, and model optimization. Also experienced in developing model wrapers. Deep understanding of algorithms including regression, classification, clustering, NLP, and deep learning. Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow.

What Your Responsibilities Will Be Design automation solutions using Python, Robot Framework, and Avalaras in-house automation tool (Studio). Create efficient, scalable, and resilient workflows to automate complex business processes within the Tax Filing ecosystem. Lead a team of engineers, setting standards for code quality, test coverage, and automation design. Contribute to all phases of the SDLC planning, design, implementation, testing, deployment, and ongoing support. Foster a Quality First, Zero Defects culture by promoting a Shift Left approach and advocating for early testing practices. Collaborate with team members and partners to evaluate automation opportunities across different departments. Conduct process assessments and translate them into clear, applicable requirements for automation development. Provide ongoing support and maintenance for automation solutions, ensuring they remain and performant over time. Monitor solution performance, implementing enhancements or remediations. Work with platform engineering, product management, and departmental teams to align automation efforts with our goals. C ommunicate technical issues, and dependencies to partners, ensuring transparency and agreement. What Youll Need to be Successful Bachelors degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in designing and implementing automation solutions, with at least 1 years in a technical leadership or lead engineer role . Expertise in Robotic Process Automation (RPA) tools such as UIPath, Robocorp, or Blue Prism. S cripting skills in Python or Robot Framework ; ability to guide best practices and code quality. Solid experience with web-based automation using Selenium and integration of automation with web applications. Proficiency in working with RESTful APIs , and handling JSON and XML data formats. Hands-on experience with CI/CD tools like Jenkins or GitLab for automation deployment and version control. Familiarity with Agile methodologies; within iterative,. Experience with driving efficiency, innovation, and continuous improvement in automation engineering.

What Your Responsibilities Will Be Design automation solutions using Python, Robot Framework, and Avalaras in-house automation tool (Studio). Create efficient, scalable, and resilient workflows to automate complex business processes within the Tax Filing ecosystem. Lead a team of engineers, setting standards for code quality, test coverage, and automation design. Contribute to all phases of the SDLC planning, design, implementation, testing, deployment, and ongoing support. Foster a Quality First, Zero Defects culture by promoting a Shift Left approach and advocating for early testing practices. Collaborate with team members and partners to evaluate automation opportunities across different departments. Conduct process assessments and translate them into clear, applicable requirements for automation development. Provide ongoing support and maintenance for automation solutions, ensuring they remain and performant over time. Monitor solution performance, implementing enhancements or remediations. Work with platform engineering, product management, and departmental teams to align automation efforts with our goals. C ommunicate technical issues, and dependencies to partners, ensuring transparency and agreement. What Youll Need to be Successful Bachelors degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in designing and implementing automation solutions, with at least 1 years in a technical leadership or lead engineer role . Expertise in Robotic Process Automation (RPA) tools such as UIPath, Robocorp, or Blue Prism. S cripting skills in Python or Robot Framework ; ability to guide best practices and code quality. Solid experience with web-based automation using Selenium and integration of automation with web applications. Proficiency in working with RESTful APIs , and handling JSON and XML data formats. Hands-on experience with CI/CD tools like Jenkins or GitLab for automation deployment and version control. Familiarity with Agile methodologies; within iterative,. Experience with driving efficiency, innovation, and continuous improvement in automation engineering.

What Your Responsibilities Will Be Design automation solutions using Python, Robot Framework, and Avalaras in-house automation tool (Studio). Create efficient, scalable, and resilient workflows to automate complex business processes within the Tax Filing ecosystem. Lead a team of engineers, setting standards for code quality, test coverage, and automation design. Contribute to all phases of the SDLC planning, design, implementation, testing, deployment, and ongoing support. Foster a Quality First, Zero Defects culture by promoting a Shift Left approach and advocating for early testing practices. Collaborate with team members and partners to evaluate automation opportunities across different departments. Conduct process assessments and translate them into clear, applicable requirements for automation development. Provide ongoing support and maintenance for automation solutions, ensuring they remain and performant over time. Monitor solution performance, implementing enhancements or remediations. Work with platform engineering, product management, and departmental teams to align automation efforts with our goals. C ommunicate technical issues, and dependencies to partners, ensuring transparency and agreement. What Youll Need to be Successful Bachelors degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in designing and implementing automation solutions, with at least 1 years in a technical leadership or lead engineer role . Expertise in Robotic Process Automation (RPA) tools such as UIPath, Robocorp, or Blue Prism. S cripting skills in Python or Robot Framework ; ability to guide best practices and code quality. Solid experience with web-based automation using Selenium and integration of automation with web applications. Proficiency in working with RESTful APIs , and handling JSON and XML data formats. Hands-on experience with CI/CD tools like Jenkins or GitLab for automation deployment and version control. Familiarity with Agile methodologies; within iterative,. Experience with driving efficiency, innovation, and continuous improvement in automation engineering.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills.

What Your Responsibilities Will Be Lead and manage a team of AIML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery. Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay up to date with the latest AIML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage. Develop our AIML strategy, aligning with our objectives, and ensuring the teams projects support this vision. Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving. Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization. What Youll Need to be Successful Specific Qualifications: Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience building and deploying to production APIs powered by AI Machine Learning systems. Proficiency in programming languages relevant to AI ML, such as Python, R, Java, Scala, C++ and familiarity with AI ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI ML solutions. Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools. : General Qualifications: Bachelors degree in Computer Science, Artificial Intelligence, or Machine Learning. 9 years of experience in AI ML with at least 6 years in a management position, overseeing technical teams. Translate complex technical concepts and challenges into clear strategic plans and applicable solutions. People management skills, with experience mentoring and developing teams. Excellent project management skills, with experience in agile methodologies

What Your Responsibilities Will Be Lead and manage a team of AIML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery. Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay up to date with the latest AIML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage. Develop our AIML strategy, aligning with our objectives, and ensuring the teams projects support this vision. Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving. Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization. What Youll Need to be Successful What Youll Need to be Successful Specific Qualifications: Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience building and deploying to production APIs powered by AI Machine Learning systems. Proficiency in programming languages relevant to AI ML, such as Python, R, Java, Scala, C++ and familiarity with AI ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI ML solutions. Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools. : General Qualifications: Bachelors degree in Computer Science, Artificial Intelligence, or Machine Learning. 9 years of experience in AI ML with at least 6 years in a management position, overseeing technical teams. Translate complex technical concepts and challenges into clear strategic plans and applicable solutions. People management skills, with experience mentoring and developing teams. Excellent project management skills, with experience in agile methodologies

What Your Responsibilities Will Be Lead and manage a team of AIML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery. Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay up to date with the latest AIML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage. Develop our AIML strategy, aligning with our objectives, and ensuring the teams projects support this vision. Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving. Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization. What Youll Need to be Successful What Youll Need to be Successful Specific Qualifications: Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience building and deploying to production APIs powered by AI Machine Learning systems. Proficiency in programming languages relevant to AI ML, such as Python, R, Java, Scala, C++ and familiarity with AI ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI ML solutions. Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools. : General Qualifications: Bachelors degree in Computer Science, Artificial Intelligence, or Machine Learning. 9 years of experience in AI ML with at least 6 years in a management position, overseeing technical teams. Translate complex technical concepts and challenges into clear strategic plans and applicable solutions. People management skills, with experience mentoring and developing teams. Excellent project management skills, with experience in agile methodologies

Overview The AI Solution Architect will be responsible for designing and guiding the technical architecture for the rapid delivery of Machine Learning (ML) and Large Language Model (LLM) powered applications. This role requires a strong understanding of end-to-end system design, integration principles, and the ability to translate business needs into clear and scalable technical blueprints. The architect will ensure seamless integration of various components, optimize for scalability, and effectively communicate architectural designs and trade-offs to both technical and non-technical stakeholders. Key Responsibilities: Design and document end-to-end technical architectures for rapid prototyping and Proof-of-Concepts (POCs) of ML and LLM powered applications. Translate complex business requirements into actionable and well-defined technical designs, considering factors such as performance, scalability, security, and maintainability. Architect the integration of various systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, within tight project timelines and constraints. Define data pipelines and data storage solutions optimized for ML/LLM workloads. Select appropriate technologies, frameworks, and tools for building and deploying AI solutions. Ensure the scalability and reliability of the designed architectures. Collaborate closely with development teams to provide architectural guidance and support throughout the development lifecycle. Communicate architectural designs, trade-offs, and technical complexities clearly and concisely to both technical and non-technical stakeholders, including product managers, business analysts, and executives. Identify and mitigate potential technical risks and challenges. Stay up-to-date with the latest advancements in AI/ML/LLM technologies and architectural patterns. Contribute to the development of architectural best practices and standards within the organization. Requirements Skills & Experience: Proven experience in designing end-to-end technical architectures for rapid prototyping or POCs, with a strong emphasis on ML/LLM components. Demonstrated ability to break down complex business requirements into clear, actionable technical designs and specifications. Hands-on experience integrating multiple systems, including APIs (REST, gRPC, etc.), databases (SQL, NoSQL), and front-end applications, under tight timelines and constraints. Excellent communication and presentation skills, with the ability to effectively articulate complex technical concepts and architectural trade-offs to both technical and non-technical team members. Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Experience with containerization technologies (e.g., Docker, Kubernetes). Familiarity with data engineering principles and tools. Understanding of software development methodologies (e.g., Agile, Scrum). Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications: Experience with specific ML/LLM frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Experience with MLOps practices and tools for deploying and managing ML models. Knowledge of security best practices for AI applications. Experience in a fast-paced startup or innovation-driven environment.

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Role : SMO-OSS Integration Consultant (5G Networks) Working mode : Regular Notice Period : Immediate - 15 Days Key Responsibilities : SMO-OSS Integration : - Design and implement integration workflows between the SMO platform and OSS systems to manage 5G network resources and operations. - Configure OSS-SMO interfaces for tasks such as fault management, performance monitoring, and lifecycle management. - Ensure proper data exchange between SMO and OSS for service orchestration, provisioning, and assurance. Network Orchestration and Automation: - Enable automated service provisioning and lifecycle management using SMO. - Develop workflows and processes for end-to-end network orchestration, including MEC, network slicing, and hybrid cloud integration. Testing and Validation: - Perform end-to-end testing of SMO-OSS integration in both lab and production environments. - Validate integration of specific use cases, including fault detection, service assurance, and anomaly detection. Collaboration and Support : - Collaborate with cross-functional teams, including OSS developers, cloud engineers, and AI/ML experts, to define integration requirements. - Work with vendors and third-party providers to ensure compatibility and system performance. Required Skills and Experience : 1. Technical Expertise : - Strong knowledge of SMO platforms and their integration with OSS systems. - Familiarity with OSS functions such as inventory management, fault management, and performance monitoring. - Hands-on experience with O-RAN interfaces such as A1, E2, and O1. 1. Protocols and Standards : 1. In-depth knowledge of 5G standards, including 3GPP, O-RAN, and TM Forum. 2. Familiarity with protocols like HTTP/REST APIs, NETCONF, and YANG. 2. Programming and Scripting : 1. Proficiency in Python, Bash, or similar for scripting and automation. 2. Experience with AI/ML frameworks and their application in network optimization. 3. Tools and Platforms : 1. Experience with tools like Prometheus, Grafana, Kubernetes, Helm, and Ansible for monitoring and deployment. 2. Familiarity with cloud-native deployments (e.g., OpenShift, AWS, Azure). 4. Problem-Solving : 1. Strong debugging and troubleshooting skills for integration and configuration issuess.

Sr Applications Developer - (Full Stack Developer - AI Engineering Practice) BMC is looking for an experienced Full Stack Developer to join our team working on building and maintaining our Generative AI engineering and research platform. This position involves working with advanced AI technologies, balancing practical engineering implementation with innovative AI solutions, and ensuring code quality and functionality in our AI applications. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Design and develop full-stack applications using React (frontend) and Fast API (backend) Build and optimize LLM applications using Langchain and related frameworks Architect and maintain cloud-native applications on AWS EKS clusters Implement and optimize integrations with Bedrock services for LLM functionalities Develop and maintain AI pipelines using Python ML frameworks Manage and optimize databases (ex. PostgreSQL) in AWS RDS Integrate and maintain SSO solutions using OKTA Collaborate with AI researchers to implement and deploy ML models Design and develop RESTful APIs for AI service integration Implement secure and scalable cloud infrastructure using AWS services Lead technical design discussions and architecture reviews To ensure youre set up for success, you will bring the following skillset & experience: 5+ years of full-stack development experience Strong proficiency in React.js and modern JavaScript/TypeScript Expert-level Python development skills Experience with Python AI/ML frameworks: Langchain for LLM applications NumPy and Pandas for data manipulation Scikit-learn for ML implementations PyTorch or TensorFlow (preferred) Experience with Fast API framework Proven experience with AWS services, especially EKS and RDS Solid understanding of Kubernetes and container orchestration Experience with PostgreSQL and database optimization Knowledge of authentication systems and SSO implementation (OKTA preferred) Experience with CI/CD pipelines and DevOps practices Understanding of RESTful API design principles Whilst these are nice to have, our team can help you develop in the following skills: Experience with LLM integration and AI services Familiarity with AWS Bedrock or similar AI services Strong background in Python ecosystem: Hugging Face transformers Streamlet for AI applications Experience with vector databases (e.g., Pinecone, Chroma) Experience in prompt engineering and LLM optimization techniques Experience in implementing microservices architecture Experience with monitoring and observability tools Security best practices in cloud environments The ideal candidate will demonstrate full stack proficiency via past work samples, GitHub projects, whiteboarding sessions and a potential live coding test

Job Summary: We are seeking a highly skilled Knowledge Engineer to join our team and play a key role in developing and implementing advanced knowledge management frameworks and solutions, enhanced with Generative AI (GenAI) capabilities The successful candidate will create, maintain, and evolve a robust knowledge infrastructure, leveraging AI to drive smarter knowledge solutions across our organization This role requires a strong foundation in knowledge management, a deep understanding of AI technologies, and an ability to innovate in solution delivery Key Responsibilities : Develop Knowledge Management Frameworks: Design, build, and implement comprehensive frameworks that capture, organize, and facilitate the sharing of knowledge across teams and departments Enable Knowledge Evolution with GenAI: Drive the evolution of knowledge repositories and management systems with generative AI capabilities, ensuring the system continuously learns and improves in response to user inputs and new information Create and Maintain Solution Banks: Establish and manage a repository of solution banks that can be utilized by teams to solve recurring challenges efficiently Develop processes to update and evolve these solution banks as knowledge and technology advance Collaborate with Cross-functional Teams: Work closely with stakeholders, including engineers, data scientists, and domain experts, to understand knowledge requirements, identify gaps, and continuously improve knowledge management solutions Ensure High-Quality Knowledge Assets: Create and maintain high standards for knowledge assets, ensuring they are accurate, accessible, and aligned with organizational goals Leverage Advanced AI Techniques: Apply AI/ML techniques, particularly GenAI, to enhance knowledge retrieval, classification, and recommendation processes, making knowledge systems more intuitive and user-centric Measure and Report on Knowledge System Effectiveness: Develop metrics to measure the effectiveness of knowledge systems and GenAI implementations, using these insights to drive improvements and maximize impact Qualifications : Educational Background: Bachelors degree in Engineering, Computer Science, or a related field Experience: Proven experience in knowledge engineering or knowledge management Expertise in designing and implementing knowledge management frameworks Strong understanding of AI, specifically GenAI technologies, and their application to knowledge evolution and management Familiarity with solution bank creation and maintenance processes Experience : Minimum of 3 years in a similar role is required; overall 5 years Skills : Proficiency in knowledge management tools and systems Strong analytical and problem-solving skills, with the ability to translate complex requirements into actionable solutions Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Knowledge of AI and ML frameworks, libraries, and best practices Knowledge Engineer, Knowledge Management, Knowledge Frameworks, Generative AI, GenAI, Knowledge Infrastructure, AI Solutions, Solution Banks, Knowledge Repositories, AI/ML Techniques, Cross-functional Collaboration, Knowledge Assets, AI Technologies, Knowledge Retrieval, Knowledge Classification, Knowledge Recommendation, AI-driven Systems, Engineering, Computer Science, Knowledge Engineering, Knowledge Management Frameworks, GenAI Implementation, Solution Bank Maintenance, Analytical Skills, Problem-solving, Communication Skills, AI Frameworks, ML Frameworks, AI Libraries, Machine Learning, Knowledge Systems, Metrics Development, Continuous Improvement, User-centric Design, Knowledge Sharing, Technical Translation, Stakeholder Engagement, Innovation in AI Solutions, Knowledge Evolution