1973 Preprocessing Jobs - Page 31

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that enhance operational efficiency and user experience. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to foster their professional growth. - Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with data preprocessing and feature engineering techniques. - Ability to implement and optimize algorithms for performance and scalability. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education

Skills: Artificial Intelligence (AI), Machine Learning, Deep Learning, Retrieval-Augmented Generation (RAG), genetic Ai, Python, Model Deployment, Natural Language Processing, Job Title:- Lead Ai Engineer Job Description We are seeking a motivated AI/ML and Python Developer with 6 years + of experience to join our team. The ideal candidate will have a strong foundation in AI/ML technologies, Python programming, and a passion for solving complex problems. Key Responsibilities Develop, deploy, and maintain AI/ML models and solutions. Integrate and optimize Large Language Models (LLMs) and Generative AI (Gen AI) technologies. Design and implement AI agents for automation and decision-making tasks. Collaborate with cross-functional teams to deliver scalable AI-driven solutions. Technical Requirements Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Gen AI, LLM integration (e.g., OpenAI GPT, Hugging Face), and AI agent development. Familiarity with data preprocessing, model training, and evaluation techniques. Knowledge of REST APIs, cloud platforms (e.g., AWS, GCP), and version control (e.g., Git). Understanding of NLP, computer vision, or reinforcement learning is a plus. Preferred Qualifications Hands-on experience with Gen AI tools and frameworks. Must Have Good Command over LLM - NLP Techniques Proven ability to work on end-to-end AI/ML projects. Strong problem-solving and communication skills.

Skills: Deep Learning, TensorFlow/PyTorch, Python, Machine Learning, Robotics Software Architecture, ROS, Job Title: Senior AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 2- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. Were looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications Bachelors or Masters degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team. Requirements Expert-level proficiency in React, TypeScript, and Next.js, with deep experience in Server-Side Rendering (SSR) and Static Site Generation (SSG). Strong backend engineering experience using Python and FastAPI, with a focus on scalable API design, database modeling (PostgreSQL, MongoDB), and implementing secure authentication protocols such as JWT and OAuth2. Hands-on experience in prompt engineering and deploying large language models (LLMs) like GPT-4, LLaMA, and other open-source alternatives. Familiarity with machine learning model serving frameworks (e.g., TorchServe, BentoML) and container orchestration tools such as Docker and Kubernetes. In-depth knowledge of the full ML lifecycle—from data preprocessing and model training to monitoring and retraining in production environments. Strong understanding of Agile/Scrum methodologies, including writing user stories, defining acceptance criteria, participating in sprint planning, and conducting code reviews. Proven ability to translate financial domain requirements (e.g., accounting, bookkeeping, financial reporting) into robust and scalable software features. Experience integrating with financial APIs such as accounting platforms, payment gateways, and banking feeds is a strong plus. Benefits A challenging, innovating environment. Opportunities for learning where needed.

Randstad Enterprise is a global talent leader, providing solutions and expertise that help companies position for growth, execute on strategy, and improve business agility. Our experience encompasses all facets of the talent acquisition of permanent employees and the contingent and contractor workforce. Key offerings include Managed Services Provider (MSP) programs, Recruitment Process Outsourcing (RPO), and Blended Workforce Solutions. Randstad Sourceright offers solutions Globally in North America, EMEA, and APAC. Working for a multi-country organization means working with clients and colleagues from different backgrounds. This results in a digital way of working and requires a proactive and culturally inclusive mindset. Purpose of the job This role aims to partner with the Regional and Global Stakeholders within RSR (who can include but are not limited to Operational Teams, Data engineering, BI Support Teams, Internal teams, and RSR clients) and provide business solutions through data driven insights/recommendations. We're seeking someone with a flair for data storytelling to join our team. In this role, you'll transform complex data into compelling narratives that drive business decisions. This position has operational and technical responsibility for driving data insights, analytics, and consulting across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve problem solving for external clients and internal stakeholders. As a Business Intelligence Partner, you will oversee the end-to-end delivery of regional and global accounts with respect to data and analytics. This will include working with data engineering to provide usable datasets, creating dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the stakeholders. The key to this is that as a Business Intelligence Partner, you will be a commercial and operational expert who can translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities, and provide business solutions. Key stakeholders RSR internal stakeholders include but are not limited to C-Suite, Finance, Regional Managing Directors, Vice Presidents, and operational account leaders RSR external clients Position Summary Consulting / Partnering (60%): Leverage data analytics to extract actionable insights from external client and internal RSR data, to help drive strategic business decisions Analyze the client’s data to present the account leadership and client with potential approaches to identify service delivery improvement opportunities and value-added Initiatives. Conduct in-depth data analysis to uncover revenue-generating opportunities, supporting account leadership with data-driven recommendations. Serve as a key liaison between clients, operations teams, and data engineering, translating business needs into technical requirements Actively collect and monitor stakeholder feedback to quantify Data and Analytics impact and ROI Collaborate with global teams to standardize data practices and share analytics best practices, along with coaching/mentoring junior team members Apply expertise in data visualization and storytelling to effectively communicate complex insights to stakeholders Build and maintain client/stakeholder relationships through consistent improvement and delivery of high-value data analytics Provide thought leadership in business intelligence and data analytics methodologies Liaise with client program owners and ATS Vendors/Partners to optimize data integration and reporting capabilities Implementation of BI solutions (30%): Be the implementation workstream lead responsible for delivering a reporting suite and introductory standard for the account and client. Provide recommendations on organizing the same concept offerings to appropriate ‘tier-based’ programs currently licensed for DOMO/Talent Radar. Responsible for ensuring all contractual conditions around reporting, financial elements, SLA's, and KPI's are reviewed, understood, and adhered to Assess operating reality to validate solution requirements and adjust as needed. Implement and reinforce tools, including standards, procedures, and documentation. Ensure the team has living documentation on reporting requirements, data processes, and other program-specific content. Oversee the design and build of insightful, scalable, and actionable visualizations. Develop, document, and maintain a comprehensive quality management program Build, implement, and schedule production standards of files and reports to ensure accuracy and timeliness. Ensure reporting quality and accuracy by evaluating, integrating, and complementing data sources. Execute continuous process improvement process. Knowledge of general database functions, data storage, data models, SQL, and data transfer protocols Maintain Standards (10%): Work within the agreed parameters aligned to the global method of BI production Leverage an agile work environment to incorporate new innovative and value components into existing portfolios Organize a feedback standard from stakeholders (internal and external) in order to create use cases, case study materials and other customer-facing material (coordinate with RFP and sales approach as appropriate) Promote available resources and enterprise tools for operations training/ coaching needs from a BI perspective. Ensure data governance principles and guidelines are being met Job Requirements Education Bachelor’s degree mandatory Master’s degree a plus Mandatory Experience 7-9 years experience in data analytics and/or consulting in a delivery environment Experience with DOMO (or other visualization tools such as Tableau, Spotfire, PowerBI) and GCP Management Information/Business Intelligence/Analytics background is essential Project Management and/or process improvement experience Talent Acquisition/MSP/RPO/People Analytics experience Preferred Experience: Advanced Analytics/Data science/AI/ML experience preferred Knowledge, Skills, and Abilities: Technical Skills: Data Visualization: Expertise in data visualization tools such as DOMO, Tableau, Spotfire, Qlikview, Power BI - understanding of data visualization methods including usage of various chart types and dashboarding Data Manipulation: Proficiency in data cleansing and preprocessing techniques to ensure data quality Strong SQL skills for data extraction, transformation, and analysis Proficiency in advanced Excel, including macros, pivot tables, and data modeling Knowledge of data governance principles and best practices for maintaining data integrity Analytics: Knowledge of key descriptive analytics techniques including but not limited to data summarization (central tendency, dispersion etc.), data visualization methods, time series analysis, correlation analysis, cross- tabulation, frequency distributions, Pareto analysis, cohort analysis, funnel analysis, RFM analysis, exploratory data analysis, and basic cluster analysis for segmentation Proficiency in data mining techniques to uncover patterns and trends in large datasets Experience with predictive modeling for forecasting and decision support, knowledge of A/B testing methodologies to drive continuous improvement, and the ability to apply statistical techniques to inform strategy and investment decisions is a plus Client-facing Experience: Communication: Excellent communication and facilitation skills required for various levels throughout external and internal organizational stakeholders Presentation & Storytelling: Expertise in narrative structures and audience analysis, so as to create compelling data narratives that aid driving business decisions Excellent presentation skills used in delivering solutions to senior leadership and client stakeholders Skilled in translating data insights into clear, non-technical language for diverse stakeholders Demonstrated continuous improvement, process documentation, and workflow skills Organizational Experience : Working in multinational organizations, preferably in HR Staffing, Recruitment or Outsourcing

About lululemon: lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance. About the team: The opportunity is for a role in the Content team. Our team is fast-paced and taking on exciting new initiatives to support a fast-growing business. We strive to adopt leading-edge technology and seek to continuously improve on the solutions we have. We are not afraid to try new things, have fun, and encourage each other to take on new challenges. We support each other in growing professionally and personally. We fail forward and learn from our mistakes, thus creating a better path ahead. We create space for team members to share feedback and ideas that can help us continually grow as an organization. We operate in agile methodology and contribute to product teams across our various functions as well as a core commerce platform team. We institute a culture of fun and lightheartedness to enjoy work each day. We are inclusive and know that we are stronger as a team than as an individual. Responsibilities: Develop Statistical/Machine Learning models / analysis for Merchandising and Planning Business problems Play a key role in all stages of the Data science project life cycle Collaborate with Product Management, Business teams to gain Business understanding, Collect requirements Identify data sources required, automate collection process Perform pre-processing, exploratory data analysis Evaluation / Interpretation of results and presentation to Stakeholders, Business leaders Collaborate with engineering and product development teams for deploying models into production systems, when applicable Requirements and skills: Proven experience in technical delivery of solutions with Time Series / Machine Learning techniques Strong applied Statistical skills, including knowledge of Statistical tests, distributions etc. Strong applied Machine Learning skills (Time Series, Regression Analysis, Supervised and Unsupervised Learning) Strong Programming Skills in Python and database query languages like SQL . Familiarity with Snowflake & Databricks is an added advantage Experience with time series forecasting techniques such ARIMA, Prophet, Deep AR Experience with data visualization libraries like Plotly, Business intelligence tools (e.g. PowerBI, Tableau) Excellent communication and presentation skills Experience in Retail industry Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Summary Job Summary: We are seeking a talented Software Developer with a strong background in AI/ML Engineering to join our dynamic team. The ideal candidate will have 2 5 years of experience in software development, with a focus on artificial intelligence and machine learning technologies. You will be responsible for designing, developing, and implementing innovative software solutions that leverage AI/ML to enhance our products and services. Responsibilities: Design, develop, and maintain software applications with a focus on AI/ML functionalities. Collaborate with cross functional teams to gather requirements and translate them into technical specifications. Implement machine learning algorithms and models to solve complex business problems. Conduct data analysis and preprocessing to prepare datasets for model training. Optimize and fine tune AI/ML models for performance and scalability. Participate in code reviews and ensure adherence to best practices in software development. Stay updated with the latest trends and advancements in AI/ML technologies. Document software designs, processes, and technical specifications. Mandatory Skills: Strong knowledge of AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in programming languages such as Python, Java, or C++. Experience with data manipulation and analysis using libraries like Pandas and NumPy. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Understanding of software development methodologies (Agile, Scrum). Preferred Skills: Experience with deep learning techniques and neural networks. Knowledge of natural language processing (NLP) and computer vision. Familiarity with version control systems (e.g., Git). Experience in developing RESTful APIs for AI/ML applications. Strong problem solving skills and ability to work in a fast paced environment. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 2 5 years of relevant experience in software development with a focus on AI/ML. Strong analytical and critical thinking skills. Excellent communication and teamwork abilities. If you are passionate about AI/ML and eager to contribute to innovative software solutions, we encourage you to apply and join our team!

The Opportunity Our Indian Operations Centre (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units—Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries. How You’ll Make An Impact Responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics model as well as process and tool support. Understand the product & market segmentation of portfolio and build know-how of data eco systems in various process involved in Business. Prepare reports with clear information understanding the raw information and interpret the date in optimized KPIs (target achievement, Price performance, Order trend, pipeline development, etc), profitability. Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc. Be in charge of the development and updation of models using Python as well as related user training in order to increase the analytical capabilities of our sales management around the globe. Responsible to continuously improve process performance and data quality Document and follow the guidelines for the efficient business Assess data from different sources to gain insights into pricing strategies and market trends. Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions. Develop and implement predictive models to forecast future sales and demand for power system products. Collaborate with CFT to understand business requirements and translate them into analytical solutions. Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy. Utilize machine learning algorithms and statistical techniques to build robust models. Continuously monitor and improve model performance based on feedback and new data. Stay updated with the latest industry trends and advancements in data science and machine learning. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business Your Background Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field. Any graduation (Science, Statistics, Computer applications, Engineering) 4 -7 years relevant experience Proven experience in data analysis, modeling, and machine learning. Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical methods and machine learning algorithms. Experience with data visualization tools like Tableau, Power BI, or similar. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Knowledge of big data technologies and cloud platforms. Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.

Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Role: Gen AI Engineer Location: Delhi Mode of Work : Hybrid Notice Period : 0-25 Days Job Description: Key Responsibilities: Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI. Implementing AI models: This involves building and integrating AI models into existing systems and applications. Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering. Data preprocessing and analysis: This involves preparing data for use in AI models. Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders. Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments. Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results. Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks. Required Skills: Strong programming skills in Python: Python is the preferred language for AI development. Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively. Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines. Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries. Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization. Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments. Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders. Optional Skills: Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models. Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner. Experience with DevOps practices: This can help with automating the development and deployment of AI models. Job Type: Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Schedule: Day shift Experience: Total: 6 years (Required) GenAI: 5 years (Required) Python : 3 years (Required) LLM: 4 years (Required) OpenAI, Claude, Gemini: 3 years (Preferred) Azure: 3 years (Required) Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Act as the senior software engineer RPA development using UiPath or Mulesoft Be able to develop, design and implement UiPath solutions Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate RPA/AI capabilities into products and services Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Act as a mentor to other technical team members providing guidance and possible solution approaches Be able to engage with the business and gather requirements and organize them utilizing an Agile based approach Serve as the technical subject matter expert for the development team and work closely with all the global development team to lead, enhance, and maintain the application Participate in scrum meetings and relay business and technical decisions to the development team Work closely with the product owner and business SMEs on design of product Coordinate release planning Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Engineering degree or equivalent experience 7+ years of hands-on experience in both frontend and backend development tasks, working with technologies such as UiPath and related frameworks 2+ years of experience in AI/ML engineering, focused on Generative AI or Agentic AI 2+ years of hands-on experience working with Microsoft Azure Cloud Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques MS Azure, Rally experience Experience working in agile methodology Experience driving UiPath solutions and it’s framework, also guiding a team to realizing those solutions Significant experience in UiPath development design and architecture Experience mentoring other software engineers Experience serving as senior engineer being able to collaborate with the product owner in documenting feature and user story acceptance criteria; understand how the features will integrate into the current application as well At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

What We Offer 6 Months Internship followed with job opportunity Hands-on training and mentorship from industry experts. Opportunity to work on live projects and client interactions. A vibrant and learning-driven work culture. 5 days a week & Flexible work timings Job Summary We are seeking motivated and enthusiastic AI & ML Interns or Freshers to support our AI and machine learning initiatives. As an intern or fresher, you will have the opportunity to work alongside our experienced data scientists and engineers, gaining hands-on experience in developing, implementing, and optimizing AI and ML models. Key Responsibilities Assist in the development and testing of machine learning models and algorithms. Conduct data preprocessing and data cleaning tasks to prepare datasets for analysis. Implement, evaluate, and optimize AI models using state-of-the-art techniques. Collaborate with team members to integrate machine learning models into applications and systems. Participate in the research and development of new AI and ML technologies. Perform data analysis and visualization to support decision-making processes. Document processes, methodologies, and findings in a clear and concise manner. Stay updated with the latest trends and advancements in AI and machine learning. Requirements Recent graduates from the BE/B.Tech background of the 2024/25 academic year. Basic understanding of machine learning concepts and algorithms. Understanding of programming languages such as Python, R, or similar. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc. Familiarity with data analysis and visualization tools like Pandas, NumPy, Matplotlib, or similar. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Self-motivated and eager to learn new technologies and techniques.

We’re looking for a hands-on AI Engineer to join our team and build intelligent systems that solve real-world problems at scale. From training deep learning models to deploying them in production, you’ll work across the AI lifecycle — helping us push the boundaries of what machines can do. This is not just a model-tweaking role — we expect you to design solutions, write robust code, and bring models into production with performance and scalability in mind. Key Responsibilities: Design, develop, train, fine-tune, and deploy machine learning / deep learning models. Collaborate with data scientists and engineers to productionize models (model serving, APIs, pipelines). Perform data preprocessing, feature engineering, and model optimization. Build and maintain scalable ML infrastructure using frameworks like TensorFlow, PyTorch, and MLFlow. Apply LLMs, transformers, NLP techniques, or computer vision models based on problem context. Monitor model performance and retrain/refactor as needed in production. Stay up to date with AI research and evaluate potential applications of cutting-edge techniques. Must-Have Skills: Strong coding skills in Python (and ideally experience with C++/Java or other system-level languages). Hands-on experience with ML/DL frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn. Experience with NLP, CV, or generative AI techniques (depending on role focus). Solid understanding of model evaluation, training strategies, and overfitting control. Experience working with structured/unstructured data at scale. Familiarity with deploying ML models (REST APIs, Docker, Kubernetes, etc.). Knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps tools is a plus. Good to Have: Experience working with LLMs or foundation models (e.g., OpenAI, LLaMA, Gemini). Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG). Exposure to data engineering workflows or real-time inference systems. Contributions to open-source AI/ML projects or strong GitHub portfolio.

Job Role : Machine Learning GenAI Engineer (NLP/Python) Experience :3+ Years Work Mode :Hybrid Location : Hyderabad Overview: We are seeking a skilled ML & GenAI Engineer with hands-on experience in Natural Language Processing (NLP), Machine Learning, Python and Agentic AI to lead and contribute to cutting-edge AI projects. You will work on building, fine-tuning, and deploying intelligent systems, including LLM-based solutions, AI agents, chatbots, recommendation engines, and other AI-driven applications. Key Responsibilities: Design, build, and deploy scalable NLP/ML/Gen AI Agentic models for real-world applications. Develop and implement Agentic AI solutions capable of multi-step reasoning and autonomous task execution. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Build GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or Retrieval-Augmented Generation (RAG). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI-driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: 3+ years of experience in Python programming with strong understanding of ML pipelines. Proven experience in developing Agentic AI solutions or AI-driven autonomous agents. Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). Strong problem-solving and communication skills. Ability learn new tools, to work independently and collaboratively in a fast-paced environment Attention to detail and accuracy Preferred Skills. Theoretical knowledge of or experience in Data Engineering, Data Science, AI, ML, RPA or other related domains. Certification in Business Analysis or Project Management from a recognized institution. Experience in working with agile methodologies such as Scrum or Kanban

Job Description: We are seeking a skilled AI Engineer with 2-4 years of experience to design, develop, and deploy AI/ML solutions, with a strong emphasis on Generative AI, NLP, Retrieval-Augmented Generation (RAG), and Time Series Forecasting. The ideal candidate will have hands-on experience with LangGraph and other Generative AI frameworks to build cutting-edge AI applications. Key Responsibilities Develop and deploy AI/ML models with a focus on NLP, Generative AI, RAG, and Time Series Forecasting workflows. Engineer and refine prompts to optimize performance for large language models (LLMs) and generative AI applications. Implement and maintain data preprocessing pipelines, including data cleansing, feature engineering, embedding generation, and transformation for time series data. Develop end-to-end solutions integrating LLMs with VectorDB (e.g., Weaviate, Pinecone, FAISS) for document retrieval, semantic search, and contextual query answering. Utilize LangGraph and other Generative AI frameworks to build structured workflows for LLM-based applications. Train and fine-tune machine learning models, including LLMs, to optimize performance for various use cases. Analyze and interpret complex datasets, including time series data, ensuring scalable and efficient AI model deployment. Collaborate with cross-functional teams to integrate AI/ML models into existing systems and workflows. Ensure models are robust, scalable, and adhere to best practices in ethical AI development. Conduct testing, performance benchmarking, and iterative refinements of AI models and pipelines. Stay updated with the latest advancements in AI/ML, NLP, and cloud technologies and recommend integration strategies for emerging tools and techniques. Create technical documentation and presentations to effectively communicate AI concepts to stakeholders. Required Skills Key Skills and Qualifications: AI/ML Expertise: Proven experience in developing, fine-tuning, and deploying AI/ML models, focusing on NLP, Generative AI, and Time Series Forecasting. Prompt Engineering: Proficiency in designing, testing, and optimizing prompts for LLMs. Data Analysis: Strong ability to process and interpret large and complex datasets, including time series data, for AI model training and validation. Programming: Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. NLP Techniques: Understanding of tokenization, embeddings, transformer-based models (e.g., BERT, GPT, LLaMA), and RAG workflows. Vector Databases: Experience with Weaviate, Pinecone, FAISS, or similar VectorDBs for document retrieval and storage. LangGraph & GenAI Frameworks: Hands-on experience with LangGraph, LangChain, HuggingFace Transformers, OpenAI API, and other Generative AI tools. Cloud Deployment: Familiarity with deploying AI solutions on AWS, GCP, or Azure. Time Series Forecasting: Experience with ARIMA, LSTM, Prophet, and other forecasting techniques. Model Training & Fine-Tuning: Ability to train and fine-tune machine learning models, including large language models (LLMs), to enhance performance and accuracy. Problem-Solving & Collaboration: Strong analytical, problem-solving, and teamwork skills to work effectively in a cross-functional environment. Preferred Skills Experience in implementing RAG workflows and integrating generative AI with retrieval-based systems. Familiarity with ethical AI principles and compliance frameworks. Knowledge of additional programming languages such as JavaScript or SQL. Proficiency in MLOps practices for automating AI/ML pipelines and lifecycle management. Experience in developing AI-driven applications for real-world industry use cases. Skills: retrieval-augmented generation (rag),neuro-linguistic programming (nlp),data analysis,collaboration,programming,forecasting,prompt engineering,pytorch,cloud deployment,generative ai frameworks,programming in python,time series forecasting,langgraph & genai frameworks,vector databases (weaviate, pinecone, faiss),problem-solving & collaboration,langgraph & genai frameworks (langchain, huggingface transformers, openai api),ai ml,gen ai,vector databases,time series forecasting (arima, lstm, prophet),model training & fine-tuning,scikit-learn,problem-solving,tensorflow,langgraph,cloud deployment (aws, gcp, azure),nlp techniques,programming (python),mlops,ai/ml expertise

AI/ML Engineer/Manager: Location – Pune Experience: 6+ years Notice period – Immediate to 30 days. Key Responsibilities: Lead the development of machine learning PoCs and demos using structured/tabular data for use cases such as forecasting, risk scoring, churn prediction, and optimization. Collaborate with sales engineering teams to understand client needs and present ML solutions during pre-sales calls and technical workshops. Build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML and manage training, tuning, evaluation, and model packaging. Apply supervised, unsupervised, and semi-supervised techniques such as XGBoost, CatBoost, k-Means, PCA, time-series models, and more. Work with data engineering teams to define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Package and document ML assets so they can be scaled or transitioned into delivery teams post-demo. Stay current with best practices in ML explainability , model performance monitoring , and MLOps practices. Participate in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes. Qualifications: 8+ years of experience developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python , pandas , scikit-learn , and ML libraries such as XGBoost, CatBoost , LightGBM, etc. Familiarity with cloud-based ML environments such as AWS SageMaker , Azure ML , or Databricks . Solid understanding of feature engineering, model tuning, cross-validation, and error analysis . Experience with unsupervised learning , clustering, anomaly detection, and dimensionality reduction techniques. Comfortable presenting models and insights to technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts , including model versioning, deployment automation, and drift detection. Interested candidates shall apply or share resumes at kanika.garg@austere.co.in.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Your Role and Impact Job Title: Lead Data Scientist We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. In this role, you will be responsible for leading data-driven projects, mentoring junior data scientists, and guiding the organization in making strategic decisions based on data insights. Key Responsibilities Develop and implement advanced statistical models and algorithms to analyze complex data sets. Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions. Mentor and oversee a team of data scientists, providing guidance on best practices and techniques in data analysis and modeling. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Stay current with industry trends and emerging technologies in data science and analytics. Design and implement experiments to validate models and hypotheses. Ensure the quality and integrity of data throughout the analytic process. Qualifications Master's. in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist, with a strong portfolio of successful projects. Expertise in programming languages such as Python or R, as well as experience with machine learning frameworks. Strong knowledge of statistical analysis and modeling techniques. Excellent problem-solving skills and the ability to work with large and complex data sets. Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. Experience in leading and managing teams is a plus. We offer a competitive salary, comprehensive benefits, and the opportunity to work in a collaborative and innovative environment. If you are passionate about data science and eager to make a significant impact, we would love to hear from you. Your Contribution Job Title: Lead Data Scientist Roles And Responsibilities Leading the design and implementation of advanced machine learning models and algorithms to address complex business problems. Collaborating with cross-functional teams to define data strategies and identify opportunities for data-driven decision-making. Overseeing data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis and modeling. Mentoring and guiding junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team. Communicating findings and insights to stakeholders through visualizations, presentations, and reports, ensuring clarity and understanding of complex analyses. Staying current with industry trends, tools, and technologies in data science, and applying best practices to enhance team capabilities and project outcomes. Developing and maintaining scalable data pipelines and architectures to support large-scale data processing. Evaluating the performance of statistical models and machine learning algorithms to ensure accuracy and effectiveness in real-world applications. Collaborating with IT and engineering teams to deploy models into production environments and monitor their performance. Contributing to the strategic direction of the data science team and advising leadership on data-driven opportunities and potential risks.

Role: Gen AI Engineer Location: Delhi Mode of Work : Hybrid Notice Period : 0-25 Days Job Description: Key Responsibilities: Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI. Implementing AI models: This involves building and integrating AI models into existing systems and applications. Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering. Data preprocessing and analysis: This involves preparing data for use in AI models. Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders. Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments. Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results. Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks. Required Skills: Strong programming skills in Python: Python is the preferred language for AI development. Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively. Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines. Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries. Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization. Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments. Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders. Optional Skills: Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models. Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner. Experience with DevOps practices: This can help with automating the development and deployment of AI models. Job Type: Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Schedule: Day shift Experience: Total: 6 years (Required) GenAI: 5 years (Required) Python : 3 years (Required) LLM: 4 years (Required) OpenAI, Claude, Gemini: 3 years (Preferred) Azure: 3 years (Required) Work Location: In person

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? We are seeking an experienced Machine Learning Engineer with 3-5 years of hands-on experience to join our team. The ideal candidate will design, develop, and deploy cutting-edge machine learning solutions, with a strong focus on modern GenAI techniques. You will work at the intersection of traditional ML engineering and emerging generative AI technologies, building scalable systems that leverage both conventional algorithms and state-of-the-art language models. Key Responsibilities ML System Development & Deployment Design and develop machine learning systems and self-running AI applications for predictive modeling and automation Build and optimize ML pipelines for data preprocessing, model training, and deployment using microservices architecture Implement and optimize machine learning algorithms using Python, with expertise in frameworks like TensorFlow, PyTorch, and scikit-learn Transform data science prototypes into production-ready solutions following SDLC best practices GenAI & Advanced Techniques Develop and implement Retrieval Augmented Generation (RAG) systems for grounding LLM outputs in external data Design and optimize prompt engineering strategies to enhance GenAI model performance Build multi-modal AI solutions that can process and generate content across text, images, and other data types- Implement advanced RAG techniques including context enrichment, and fusion retrieval Data Science & Analytics Perform statistical analysis and feature engineering to prepare datasets for model training Conduct data mining, cleaning, and preprocessing to ensure high-quality training data Analyze model performance metrics and implement strategies to improve accuracy and efficiency Software Engineering & DevOps Write robust, maintainable code following software engineering best practices Build RESTful APIs and microservices Technical Skills Programming & Frameworks Advanced proficiency in Python with experience in ML libraries (TensorFlow, PyTorch, Keras, scikit-learn) Strong understanding of software development lifecycle (SDLC) and Agile methodologies Experience with microservices architecture and RESTful API development Proficiency in NoSQL/SQL for data manipulation and retrieval Machine Learning & Data Science Deep understanding of ML algorithms including supervised/unsupervised learning, deep learning, and reinforcement learning Experience with data preprocessing, feature engineering, and model optimization techniques GenAI & Modern Techniques Hands-on experience with Large Language Models (LLMs) and transformer architectures Proficiency in prompt engineering techniques for optimizing GenAI outputs Experience implementing RAG systems using tools like LangChain or LlamaIndex Knowledge of multi-modal AI capabilities and cross-modal learning Cloud & Infrastructure Experience with cloud platforms (AWS, GCP, Azure) for ML model deployment Knowledge of containerization and orchestration technologies Preferred Qualifications Knowledge of advanced RAG techniques including query transformation and agentic architectures Contributions to open-source ML projects Soft Skills Excellent problem-solving and analytical thinking abilities Strong communication skills to explain complex ML concepts to non-technical stakeholders Ability to work collaboratively in cross-functional teams Self-motivated with a passion for continuous learning in the rapidly evolving AI landscape Education & Experience Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Location - Chennai (Hybrid) Experience - 3 to 5 Years What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

Company Description Steora provides business and technology outsourcing solutions tailored to small and mid-level markets globally, ensuring each client receives the specific support they require. Our flexible approach meets unique business needs, offering technical support, functional assistance, and comprehensive CRM solutions. The dedicated team at Steora offers end-to-end support, from technical troubleshooting to business process improvements and CRM implementation. By optimizing customer interactions and improving business intelligence, we help clients focus on core activities and drive growth. Steora strives to be a trusted partner with scalable solutions that evolve with your business. Role Description This is a full-time on-site role (hybrid) for a Generative AI Engineer located in the Kolkata metropolitan area. The Generative AI Engineer will be responsible for designing, developing, and implementing generative AI models and algorithms. Daily tasks include conducting research, experimenting with new techniques, and collaborating with team members to enhance AI capabilities. The role involves analyzing data, solving complex problems, and integrating AI solutions into existing systems to improve functionality and performance. Qualifications Experience in designing and implementing generative AI models and algorithms Proficiency in programming languages like Python, R, or JavaScript Strong problem-solving skills and ability to conduct independent research Knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, or Keras Excellent analytical skills and familiarity with data preprocessing techniques Team collaboration and communication skills Experience in deploying AI solutions in real-world applications Master’s or Bachelor’s degree in Computer Science, AI, Data Science, or related field

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Act as the senior software engineer RPA development using UiPath or Mulesoft Be able to develop, design and implement UiPath solutions Design and implement scalable ML solutions using state-of-the-art generative models Fine-tune and optimize large language models (LLMs) for domain-specific applications Collaborate with cross-functional teams to integrate RPA/AI capabilities into products and services Develop pipelines for data preprocessing, model training, evaluation, and deployment Ensure model performance, fairness, and interpretability through rigorous testing and validation Act as a mentor to other technical team members providing guidance and possible solution approaches Be able to engage with the business and gather requirements and organize them utilizing an Agile based approach Serve as the technical subject matter expert for the development team and work closely with all the global development team to lead, enhance, and maintain the application Participate in scrum meetings and relay business and technical decisions to the development team Work closely with the product owner and business SMEs on design of product Coordinate release planning Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Engineering degree or equivalent experience 7+ years of hands-on experience in both frontend and backend development tasks, working with technologies such as UiPath and related frameworks 2+ years of experience in AI/ML engineering, focused on Generative AI or Agentic AI 2+ years of hands-on experience working with Microsoft Azure Cloud Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques MS Azure, Rally experience Experience working in agile methodology Experience driving UiPath solutions and it’s framework, also guiding a team to realizing those solutions Significant experience in UiPath development design and architecture Experience mentoring other software engineers Experience serving as senior engineer being able to collaborate with the product owner in documenting feature and user story acceptance criteria; understand how the features will integrate into the current application as well At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Title: AI/ML Engineer Location: 100% Remote Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy cutting-edge ML models and data-driven solutions. You will work closely with data scientists, software engineers, and product teams to bring AI-powered products to life and scale them effectively. Key Responsibilities: Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks. Collaborate with data scientists to transform prototypes into scalable, production-ready models. Deploy, monitor, and maintain ML pipelines in production environments. Perform data preprocessing, feature engineering, and selection from structured and unstructured data. Implement model performance evaluation metrics and improve accuracy through iterative tuning. Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle. Maintain clear documentation and collaborate cross-functionally across teams. Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in ML model development and deployment. Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc. Strong understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow. Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models. Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

Graph Neural Network & Reinforcement Learning Engineer Location: Remote/Hybrid Job Type: Part-Time / Full-Time (Remote or Hybrid) Experience Required: 5 to 10 years About the Role : We are seeking a highly experienced Graph Neural Network & Reinforcement Learning Engineer for a cutting-edge PCB design automation platform. The ideal candidate will have hands-on experience training GCNN pipelines and RL agents for complex optimization problems in real-world applications. Key Responsibilities : Design and train Graph Convolutional Neural Network architectures for spatial reasoning tasks Develop and optimize Reinforcement Learning agents for constraint satisfaction problems Build robust data preprocessing pipelines for graph-structured engineering data Implement multi-objective optimization frameworks with competing constraints Validate model performance on real-world design problems and production datasets Collaborate with domain experts to translate engineering requirements into ML objectives Deploy trained models in production environments with performance monitoring Must-Have Skills : 5+ years training GCNN models using PyTorch Geometric, DGL, or similar frameworks Proven experience with RL algorithms : Policy Gradient, Actor-Critic, Q-learning implementations Graph data engineering expertise : adjacency matrices, node/edge features, graph sampling techniques Data curation skills : cleaning, augmentation, and preprocessing of structured engineering data Production ML experience: model versioning, A/B testing, performance monitoring Optimization experience : multi-objective problems, constraint handling, convergence analysis Proficiency in Python, PyTorch/TensorFlow, and distributed training setups Graph-Specific Training Experience : Experience training on large-scale graphs (10K+ nodes) with efficient batching strategies Knowledge of graph convolution variants: GCN, GAT, GraphSAGE Graph augmentation techniques : node dropout, edge perturbation, subgraph sampling Experience with heterogeneous graphs and multi-relational data Understanding of graph pooling and hierarchical graph representations RL Training Experience : Environment design and custom reward function engineering Experience with continuous and discrete action spaces Curriculum learning and progressive difficulty in training Distributed RL training and parallel environment execution Knowledge of exploration strategies and handling sparse rewards Preferred Qualifications : M.Tech/PhD in Computer Science, Machine Learning, or related field Experience with spatial optimization or placement problems Background in constraint satisfaction or combinatorial optimization Prior work on engineering automation What We Offer: Opportunity to apply cutting-edge ML to solve real engineering problems Direct impact on hardware design industry transformation Flexible work arrangements and competitive compensation Equity participation in high-growth startup

Job Purpose: To support the simulation team at the customer location in analyzing their products with Ansys Maxwell/Motor CAD. Duties: Perform 2D & 3D FE analysis of electrical and electronic devices and components. Providing online/offline training to customers on the Ansys tool, Maxwell, and Motor CAD. Well-versed with 2D/3D Maxwell Pre/Solver/Post processors. Must be skilled in the following types of tools/simulations: -RM xprt -Maxwell 2D and 3D -Maxwell Circuit -Motor CAD -BLDC motors -Induction motor (single-phase and three-phase) -Design optimization Perform the following with a focus on quality and delivery metrics. Finite Element Preprocessing (Geometry clean-up/de-featuring & meshing), Solving (Convergence, numerical stability, and accuracy). Post Processing (motor performance plot). Verification and Validation of Maxwell Results with test data/analytical data. Generation of FE Analysis reports. Interact with customer teams for inputs and deliverables. Preparation of analysis summary for technical review meetings with the clients. Provide valuable recommendations and design suggestions to clients. Skills: Proven experience in Electromagnetic analysis with Ansys Maxwell. Demonstrated problem-solving skills with a passion for learning and teaching. Excellent understanding of Finite Element Analysis, Electrical machines, and Machine design. Self-starter with excellent verbal, communication, and interpersonal skills. Demonstrated ability in Maxwell simulation and clear presentation of simulation results. Strong ability to handle multiple projects. Key words: RMxprt, Ansys Maxwell, Ansys Motor CAD. Motor simulation.