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Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: · Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: · Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platforms – AWS, GCP, Azure (any one) • Version Control – Git Key Responsibilities • Design and develop machine learning models to address business requirements. • Build and manage data pipelines for training and inference workflows. • Train, evaluate, and optimise models for accuracy and performance. • Deploy models in production environments using containerised solutions. • Work with structured and unstructured data from various sources. • Ensure robust monitoring, retraining, and versioning of models. • Contribute to architecture and design discussions for AI/ML systems. • Document processes, results, and deployment procedures clearly. • Collaborate with software engineers, data engineers, and business teams. Required Skills and Qualifications • 4+ years of hands-on experience delivering ML solutions in production environments. • Strong programming skills in Python and deep understanding of ML fundamentals. • Experience with supervised and unsupervised learning, regression, classification, and clustering techniques. • Practical experience in model deployment and lifecycle management. • Good understanding of data preprocessing, feature engineering, and model evaluation. • Experience with APIs, containers, and cloud deployment. • Familiarity with CI/CD practices and version control. • Ability to work independently and deliver results in fast-paced projects. • Excellent English communication skills for working with distributed teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects. Operating globally, we drive innovation, making us a trusted AI and automation partner.

About Us At NexusLink Services , we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders , etc. Experience with LoRA, PEFT , or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering , and language model safety Hands-on experience with model deployment, APIs , and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI , or AI Assistants Familiarity with LangChain, LLMOps , or serverless model deployment Background in MLOps, Docker/Kubernetes , and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini , or Meta LLaMA

AI Model Development & Support : Assist in fine-tuning LLMs and building innovative, prompt-driven solutions using Azure OpenAI. Develop robust data preprocessing pipelines, focusing on data cleaning, tokenization, and normalization. Contribute to the implementation of RAG pipelines and Azure Document Intelligence solutions. MLOps & Lifecycle Management : Support the implementation and maintenance of Azure ML Pipelines, leveraging MLflow and DVC for efficient version control and experiment tracking. Assist in monitoring AI model performance using Azure Monitor and Application Insights to ensure optimal operation. Maintain and manage AI notebooks and experiments effectively within Azure AI Studio (Foundry). Collaboration & Continuous Learning : Work closely with Senior AI Engineers, Data Scientists, and teams like DataOps and PlatformOps. Actively participate in peer reviews, knowledge-sharing sessions, and documentation efforts to foster a collaborative environment. Seize every opportunity to strengthen your AI and MLOps competencies, contributing to your professional growth. Quality Assurance & Delivery Support : Ensure high code quality, adherence to documentation standards, and timely delivery of project milestones. Contribute to rigorous testing, validation, and seamless integration of AI solutions into production environments. (ref:hirist.tech)

About The Role We are seeking a highly motivated and experienced Senior Data Scientist to join our growing data science team. This role is ideal for someone who thrives at the intersection of business and technology, has a strong foundation in machine learning, and can drive impactful AI initiatives from concept to production. The ideal candidate will have exposure to the metal or manufacturing industry and is proficient in working with cloud-based ML solutions (preferably Azure). Key Responsibilities Translate complex business problems into data science solutions by working closely with business stakeholders, product teams, and domain experts. Conduct problem scoping, solution framing, and feasibility assessments to define clear ML project goals and success metrics. Perform in-depth exploratory data analysis (EDA) to uncover hidden insights and relationships in large, high-dimensional datasets. Design and implement robust data preprocessing and feature engineering pipelines, using both structured and unstructured data. Develop and validate scalable, production-grade ML models including traditional ML (Random Forests, Gradient Boosting, SVM) and deep learning models (CNNs, RNNs, Transformers). Deploy, monitor, and maintain ML models in production environments using Azure ML (preferred), AWS Sagemaker, or Google Vertex AI. Implement end-to-end ML pipelines integrating data ingestion, preprocessing, training, evaluation, deployment, and monitoring (MLOps). Write clean, reusable, and well-documented code in Python following industry standards and MLOps principles (e.g., CI/CD, model versioning, automated testing). Use version control (e.g., Git), experiment tracking tools (e.g., MLflow), and containerization (Docker/Kubernetes) where applicable. Present technical concepts, insights, and recommendations to business and technical stakeholders in a clear and effective manner. Lead client engagements and influence decision-making through storytelling, data visualization, and domain-specific insights. Mentor and guide junior data scientists on technical approaches, project planning, and model evaluation. Foster a culture of innovation, collaboration, and continuous learning across cross-functional teams. Qualifications Bachelors or Masters degree in Metallurgy, Mechanical Engineering, Computer Science, Information Technology, or related disciplines from a top-tier institution (IIT/NIT or equivalent). 4+ years of hands-on experience in data science, machine learning, or applied AI. Prior work in manufacturing, metallurgy, or industrial domains is highly desirable. Proven track record of building and deploying machine learning solutions at scale (ref:hirist.tech)

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. Responsibilities The ideal candidate should have strong foundations in machine learning algorithms, Python programming, and experience with model development, data pipelines, and production deployment in cloud or on-prem Responsibilities : Design and implement machine learning models and AI solutions for business use cases. Build and optimize data preprocessing pipelines for training and inference. Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models. Collaborate with data engineers, product teams, and software developers. Deploy ML models into production using APIs, Docker, or cloud-native tools. Monitor model performance and retrain/update models as needed. Document model architectures, experiments, and performance metrics. Research and stay updated on new AI/ML trends and tools. Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc. Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. Solid understanding of machine learning algorithms, data structures, and statistics. Experience with NLP, computer vision, or time series analysis is a plus. Familiarity with tools like Jupyter, MLflow, or Weights & Biases. Understanding of Docker, Git, and RESTful APIs. Experience with cloud platforms such as AWS, GCP, or Azure. Strong problem-solving and communication skills. Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring). Familiarity with big data tools (Spark, Hadoop). Knowledge of FastAPI, Flask, or Streamlit for ML API development. Understanding of transformer models (e.g., BERT, GPT) or LLM : Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus. (ref:hirist.tech)

Job Title: Subject Matter Expert (SME) – Data Science & Coding Location: Bogadi, Mysuru Experience: 2 to 5 Years Education: Bachelor's Degree in Computer Science, Data Science, Information Technology, or related field Salary: ₹60,000 – ₹65,000 per month Employment Type: Full-time (Open to both On-site and Hybrid) Job Summary:We are seeking a highly skilled and passionate Subject Matter Expert (SME) in Data Science and Coding to join our team in Bogadi, Mysuru. The ideal candidate will have a strong foundation in programming, data analysis, and machine learning, with the ability to guide and mentor learners or contribute to curriculum and content development. Key Responsibilities: Serve as a subject matter expert in Data Science, Machine Learning, and Programming (Python, R, SQL, etc.) Design, review, and develop learning materials, projects, coding exercises, and assessments. Provide technical mentorship and guidance to learners or junior team members. Collaborate with content developers and instructional designers to ensure content accuracy and relevance. Stay updated with the latest trends and advancements in Data Science and related technologies. Required Skills: Strong proficiency in programming languages such as Python, R, and SQL. Hands-on experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Power BI). Solid understanding of machine learning algorithms, data preprocessing, and model evaluation. Familiarity with cloud platforms and version control (AWS, GCP, Git). Excellent communication and problem-solving skills.

As an integral member of the team, you will be responsible for assisting in data collection, preprocessing, and analysis. Your role will also involve collaborating with team members to develop machine learning models, implementing algorithms and tools for AI applications, conducting experiments to validate model performance, and documenting findings to present results effectively to the team. It is imperative that you stay updated with the latest trends and advancements in the field of AI/ML to contribute effectively to the team's success. To excel in this role, you should be currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Additionally, having a basic understanding of machine learning concepts and algorithms will be advantageous in fulfilling the responsibilities of this position.,

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 : Data Science 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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 enhance their skills and knowledge. - Continuously evaluate and improve existing processes and workflows to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science. - Strong understanding of machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Familiarity with cloud platforms and services for deploying AI solutions. - Ability to work with large datasets and perform data analysis. Additional Information: - The candidate should have minimum 5 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Company Description About Sutherland Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results. Job Description We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models. Key Responsibilities: Manage day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design. Lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows. Translate architectural blueprints into executable components, prototypes, and production-ready services. Oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph. Supervise integration of AI services with business systems and ensure model outputs are usable, interpretable, and reliable. Track project KPIs, technical progress, and resource allocation; escalate risks and blockers as needed. Review code, support reusable component development, and enforce engineering best practices. Coach and mentor junior engineers and analysts within the AI team. Qualifications Required Qualifications: 7+ years of experience in AI/ML engineering or software development, with 2–3 years in team leadership roles. Experience delivering projects using GenAI, LLMs, or Transformer models (e.g., GPT, BERT, LLaMA). Solid understanding of prompt engineering, APIs, data preprocessing, and model integration. Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch,HuggingFace, LangChain, etc.). Exposure to vector databases and RAG architectures for enterprise knowledge retrieval. Strong organizational, problem-solving, and team leadership skills. Bachelor’s or master’s degree in computer science, AI, or related technical field. Preferred Skills: Experience working in agile delivery environments with CI/CD pipelines and MLOps tools. Familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks. Prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains. Ability to interface with business stakeholders to gather requirements and validate outcomes.

The Opportunity Full responsibility of driving marketing and sales function initiatives along with Pricing specialist to support business for improving profitability, identifying the demand market, behavior analysis of products. Strong technical leadership to the team in analyzing the business by developing models which allow to make efficient decision making to improve business opportunities & profitability. You are 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 systems as well as process and tool support. 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 procedures, and guidelines external and internal regulations,. 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. 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. Any graduation (Science, Statistics, Computer applications, Engineering) 4-7 years relevant experience 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.

Job Description: JS TechAlliance Consulting Private limited is a global IT solutions company that provides full-cycle services in the areas of software development, web-based enterprise solutions, mobile application design, and portal development. We combine solid business domain experience, technical expertise, profound knowledge of industry trends, and a quality-driven delivery model to offer progressive end-to-end web solutions. Our goal is to provide specialized mobile software and web business solutions while providing business consulting to our clients. Our team of Android/iOS/J2EE/Web professionals has rich IT experience and a better capability to understand your business world. Roles and Responsibilities: Assist in the development and implementation of machine learning algorithms and models. Participate in data collection, preprocessing, and feature engineering tasks. Collaborate with team members to conduct research and experimentation to improve model performance. Support the deployment of machine learning models into production environments. Perform exploratory data analysis to gain insights and identify trends in the data. Help maintain and optimize existing machine learning pipelines and workflows. Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning. Requirements: B.Tech (Data Science /AI\ML) Excellent English Communication Skills Indore Localite Candidate Internship Duration: 6 Months In-Office (Fulltime Internship) Job Location: Indore Joining: Immediate Share Resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 Whatsapp - 8224006397 Job Type: Internship Contract length: 6 months Application Question(s): Immediate Joiner Do you live in Indore? Can you attend an In-Office Interview? How much would you rate yourself in English Communication out of 10? Have you completed your B.Tech (Data Science /AI\ML)? (Mandatory) Education: Bachelor's (Required) Language: English (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

Job Title: Python Developer – Data Science & GenAI Solutions Experience: 8-11 years Department: AI/ML Engineering Band – C Job Summary We are seeking a highly motivated and skilled Python Developer with a strong foundation in automation, data science, machine learning, and NLP . The ideal candidate will also have hands-on experience or working knowledge of Generative AI (GenAI) techniques, particularly with Retrieval-Augmented Generation (RAG) implementations. This role requires the ability to work collaboratively across teams, write clean and scalable code, and develop intelligent solutions that drive impact. Key Responsibilities Develop and maintain Python-based automation scripts and pipelines for data ingestion, transformation, and model deployment. Build, train, and deploy machine learning models for predictive analytics and classification/regression tasks. Perform text analytics and Natural Language Processing (NLP), including text preprocessing, named entity recognition (NER), sentiment analysis, and topic modeling. Design and implement Generative AI solutions, including RAG pipelines, using tools like LangChain, LlamaIndex, or similar frameworks. Collaborate with data scientists and DevOps engineers to deploy solutions using cloud-native technologies (AWS preferred). Integrate models into production systems and ensure continuous delivery using version control systems like GitHub. Document code, workflows, and modeling decisions for both technical and non-technical stakeholders. Required Skills And Qualifications Strong proficiency in Python and related libraries (e.g., Pandas, NumPy, Scikit-learn, FastAPI/Flask). Experience with automation frameworks and scripting tools for ETL or system processes. Solid background in data science and ML model development, including model evaluation and optimization. Working knowledge of NLP libraries (e.g., SpaCy, NLTK, HuggingFace Transformers). Familiarity with GenAI technologies, including prompt engineering, fine-tuning, and RAG architecture. Hands-on experience with Git/GitHub for version control and collaboration. Understanding of cloud-native architecture and ability to work in cloud environments (AWS). Ability to write modular, reusable, and well-tested code. Preferred Qualifications Exposure to MLOps practices including CI/CD for ML, model monitoring, and pipelines. Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) for RAG-based solutions. Knowledge of REST APIs and microservices architecture.

About Evernorth Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Machine Learning Analyst Position Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI / UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required Overall 1-3 years of experience 1+ years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 1+ years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C / C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Hands on experience on tools / products like Dynatrace, Splunk, Service Now preferred. Experience in identifying KPI on solution build using Generative AI, for Ex – RAG based Q&A, data summarization, text content generation, data extraction, etc. will be a big advantage. Understanding of standards and regulation related to use of GenAI for a US based Health Insurance provider preferred. Healthcare experience (preferred but not mandate) Education And Training Required Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals

Job Overview We are seeking a highly skilled and experienced Lead FEA Engineer with a strong foundation in mechanical analysis and computational fluid dynamics (CFD). This role is pivotal in leading simulation-driven design and validation efforts across a wide range of engineering challenges. The ideal candidate will be responsible for executing and guiding simulations involving static, dynamic, linear, non-linear, vibration, and wind loading scenarios, supporting product development, optimization, and cross-functional innovation. Experience in electrical analysis like electro-magnetic and electrostatic is an added advantage Education: M.Tech / B.Tech – Mechanical engineering Experience: Minimum 8 to 12 Yrs Minimum 7 years’ experience in Mechanical FEA simulation of various products especially in Static/dynamic/transient simulation domain Experience in electrical/power/utility industry dealing with medium voltage protection and switchgear products A Day In The Life Interact with US clients to understand and gather project requirements. Translate physical engineering systems into accurate and efficient FEA models. Perform basic mechanical and electrical calculation and analysis techniques. Strong understanding of material assignment, boundary conditions, and meshing techniques. Post processing and reporting. Programming/scripting skills (e.g., Python, MATLAB) for automation and post-processing. Leverage model and application builder features within analysis software. What will help you thrive in this role? Lead And Execute Advanced CAE Simulations Including Static and dynamic structural analysis Linear and non-linear material behavior Modal, harmonic, and random vibration analysis Wind loading and environmental load simulations Thermal and coupled field analysis Fatigue analysis Perform CFD Simulations For Internal and external fluid flows Heat transfer Multiphase systems Conduct Simulations Involving Electromagnetic, electrostatic, and electro-thermal effects Joule heating analysis Impact and drop test scenarios using explicit dynamics Collaborate with design, manufacturing, and testing teams to validate simulation results and refine product designs. Develop and maintain simulation best practices, templates, and automation scripts. Evaluate and implement new CAE tools and technologies to enhance simulation capabilities. Document analysis procedures, results, and recommendations in detailed technical reports. Strong Knowledge Of Mechanical Engineering Concepts Solid mechanics, strength of materials Non-linear elasticity, fatigue, creep, and vibration Proficiency In FEA Fundamentals Element types, preprocessing, meshing methods, and post-processing Expertise Simulation Tools Such As ANSYS, , COMSOL, Fluent, Proficient in CAD tools such as SolidWorks or Autodesk Inventor .

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Senior Data Scientist+Instructor to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “Big Data”, and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable 3-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!

We are seeking an experienced AI/ML Engineer to design and implement cutting-edge solutions in the field of Generative AI and Large Language Models (LLMs). This role involves leading the development of intelligent agents, prompt optimization, and scalable AI pipelines, while mentoring team members and driving innovation in applied AI. You will work at the intersection of machine learning, prompt engineering, and production-grade AI orchestration, contributing to the deployment of next-gen cognitive systems across telecom and enterprise environments. Key Responsibilities: AI/ML Development: • Design and develop production-ready AI/ML solutions using LLMs and Generative AI models. • Fine-tune and optimize foundation models for domain-specific use cases. • Architect and deploy Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems. Agentic AI & Prompt Engineering: • Build intelligent AI agents using frameworks such as LangChain, CrewAI, AutoGen. • Engineer effective prompts for complex language tasks and continuous learning environments. • Orchestrate autonomous decision-making pipelines using agent-based design. Model Lifecycle & MLOps: • Implement best practices for responsible AI, model explainability, and fairness. • Own model deployment, monitoring, optimization, and cost control. • Work with MLOps tools for automation and CI/CD in model delivery pipelines. Data Engineering & Preparation: • Handle advanced data preprocessing, feature engineering, and quality checks. • Leverage tools like Pandas, Numpy, Polars for exploration and transformation. • Integrate with vector databases such as Pinecone, ChromaDB, Weaviate for semantic search applications. What You’ll Bring: • 7–11 years of experience as an AI/ML Engineer or Data Scientist with a proven track record in delivering ML solutions to production. • Expertise in: - ML/DL frameworks: TensorFlow, PyTorch, Keras, Sklearn - LLM ecosystems: LangChain, LlamaIndex, CrewAI - Foundation models, RAG pipelines, and agentic AI systems • Strong programming in Python (R is a plus) • Deep knowledge of: - ML/DL algorithms and probabilistic modeling - Statistics, feature engineering, and data wrangling - AI governance and ethical development practices • Hands-on experience in: - Prompt engineering and LLM fine-tuning - Vector databases and memory integration - Model performance tuning, compression, and deployment (ONNX, TorchScript, quantization) Why Join Us? • Impactful Work: Play a key role in building scalable AI solutions that power real-time telecom, messaging, and enterprise platforms. • Tremendous Growth Opportunities: Be part of a dynamic, fast-scaling AI team solving real-world problems. • Innovative Environment: Collaborate with passionate engineers and researchers in a culture that celebrates experimentation, learning, and innovation. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive workplace for all.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? Purpose of the role We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Key tasks & accountabilities 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 3. Qualifications, Experience, Skills Level of educational attainment required: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Previous work experience required: Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Technical skills required: Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra)

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. Qualifications This is a full-time remote role for a Principal Engineering Manager at AryaXAI. The Principal Engineering Manager will be responsible for engineering management, team leadership, software development, project management, and integration. 7+ years of experience in building and deploying enterprise-grade machine learning infra, SaaS software or data analytics solutions or online platforms Academic degree in Computer Science, Engineering, or a related field Strong background in Python programming, Distributed computing, Engineering, big data processing, and cloud computing (AWS, Azure, GCP, On-Premise) Experience in optimizing, scaling, and reliability of large-scale systems for various data modalities and AI models. Strong fundamentals and discipline in CI/CD pipelines, containerization (Docker, Kubernetes), and multi-cloud environments. Proven track record in product management in designing and delivering complex, high-performance solutions for large-scale enterprise customers without faults and ability to auto-scale the systems through delivering the essential SLAs in production during inferencing. Programming skills - expert in Python and solid coding practices Data Engineering - expert in MongoDB and strong fundamentals in data lakes, data storage, ETL pipelines, and building real-time data pipelines. Strong material skills, excellent communication, collaboration, and leadership skills with the ability to lead teams, mentor juniors, and work with other teams. Strong system architecture background that supports scaling in regulated industries. Experience in scaling AI/ML production systems using classic ML models, LLMs, and Deep Learning models on traditional hardware and high-performance computing. Roles And Responsibilities As Principal Engineer, you'll be the main SPOC for all the engineering efforts behind the AryaXAI platform, serving customers in SaaS and on-premise modes and scaling multiple AI models in startups, SMEs, and highly regulated industries. You'll be responsible for designing, modifying, and scaling architecture, as well as designing and implementing scalable infra for AI/ML solutions and data engineering. You'll be the SPOC with the R&D team collecting the productized components and adding and scaling these components on the platform. Architect and scale AI inferencing platform and related components for all data modalities like Tabular, text, image, video, etc. You'll be responsible for designing the AI Ops and AI Inferencing Ops - model building, data preprocessing, model inferencing, explainability, monitoring, alignment, risk management components. You'll work on running multiple optimizations on inferencing speed and latencies to serve multiple AI models - LLMs, DL models, classic ML models, etc. You'll be the SPOC with the pre-sales and solutions team to provide necessary documentation and specs and collect the requirements for enterprise deployments. You'll manage product development activities like scrum, reviewing the scrums, and optimizing productivity across teams - engineering, data science, and front end. You'll mentor and guide juniors and middle managers. You'll continuously improve the standards of the product, as well as the architecture, culture, and experience. What You’ll Get Highly competitive and meaningful compensation package One of the best health care plans that covers not only you but also your family A great team Micro-entrepreneurial tasks and responsibilities. Career development and leadership opportunities

Role – Senior Python Developer (Data Science, AI/ML) HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities 1. Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. 2. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. 3. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. 4. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. 5. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. 6. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). 7. Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. 8. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. 9. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills 1. At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning 2. Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. 3. Experience with AWS SageMaker is advantegous 4. Experience with LangChain, RAG for Generative AI is advantageous. 5. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways 6. Knowledge of REST, JSON, XML, SOAP is a must 7. Ability to work well within an agile team environment and applying the related working methods. 8. Excellent communication & interpersonal skills 9. A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? Purpose of the role We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Key tasks & accountabilities 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 Qualifications, Experience, Skills Level of educational attainment required: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Previous work experience required: Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Technical skills required: Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra)

Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy. What You Should Expect in This Role Fully Remote Opportunity – Work from anywhere in the India. Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Job Description This is a remote position. Call for Applications for Associate Machine Learning Engineer – ANNAM.AI Location: ANNAM.AI, Center of Excellence in AI for Agriculture, IIT RoparType: Full-Time | Contractual | Renewable based on performanceCompensation: As per industry standardsTenure: Initial appointment for 2 years, extendable up to 5 years depending on the project. Role Summary: We are seeking enthusiastic and skilled Machine Learning Engineers to join our team. In this role, you will work on developing and deploying AI/ML models that power intelligent agricultural systems. You will contribute directly to solving real-world agricultural challenges using data-driven methods and play a key role in applying technology for social impact. Key Responsibilities: Design, develop, and implement machine learning models for various agricultural applications (e.g., crop classification, yield prediction, disease detection, advisory generation). Work with large datasets from diverse sources such as satellite imagery, drone footage, and sensor data. Build and maintain robust data pipelines for model training and inference. Collaborate closely with agronomists, software engineers, and researchers to address field-level challenges using ML solutions Optimize model performance and ensure scalability for real-world deployment. Develop robust pipelines to pre-train, fine-tune and align, and evaluate LLMs and other Foundation models. Document findings, prepare reports, and present technical concepts to diverse stakeholders Required Qualifications: B.Tech/M.Tech/MS in Computer Science, Data Science, AI/ML, or a related field. Strong foundation in machine learning, deep learning, and statistical modeling. Proficiency in Python and familiarity with libraries such as PyTorch, TensorFlow,, and scikit-learn. Good understanding of data preprocessing, model evaluation, and validation techniques. Experience with tools such as Jupyter, Git, and cloud platforms (AWS/GCP/Azure). Strong analytical and problem-solving skills with a passion for applying AI for social good. Preferred Qualifications: Exposure to LLMs, NLP, computer vision, remote sensing, or geospatial data. Prior experience in building or adapting Foundation Models in text, speech or Geo AI or multi-modal / multi-lingual models. Experience working with agricultural or environmental datasets. Familiarity with model deployment tools and frameworks such as Docker, Flask, or FastAPI. Benefits: Be part of a national initiative focused on innovation for public good. Collaborate with some of the brightest minds at IIT Ropar. Tackle real-world problems with AI solutions that impact millions. Opportunity to contribute to research publications, open-source tools, and large-scale societal transformation. Job Type: Full-time Benefits: Flexible schedule Work from home Work Location: In person Expected Start Date: 29/07/2025

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Responsibilities Develop and expand our core data platform in MS Azure, Fabric building robust data infrastructure and scalable solutions. Enhance datasets and transformation toolsets on the MS Azure platform, leveraging distributed processing frameworks to modernize processes and expand the codebase Design and maintain ETL pipelines to ensure data is transformed, cleaned, and standardized for business use. Collaborate with cross-functional teams to deliver high-quality data solutions, contributing to both UI and backend development while translating UX/UI designs into functional interfaces. Develop scripts for building, deploying, and maintaining data systems, while utilizing tools for data exploration, analysis, and visualization throughout the project lifecycle. Utilize SQL and NoSQL databases for effective data management and support Agile practices with tools like Jira and GitHub. Contribute to technology standards and best practices in data warehousing and modeling, ensuring alignment with overall data strategy. Lead and motivate teams through periods of change, fostering a collaborative and innovative work environment. Skills and Competencies 3-6 years of cloud-based data engineering experience, with expertise in Microsoft Azure and other cloud platforms. Proficient in SQL and experienced with NoSQL databases, message queues, and streaming platforms like Kafka. Strong knowledge of Python and big data processing using PySpark, along with experience in CI/CD pipelines (Jenkins, GitHub, Terraform). Familiar with machine learning libraries such as TensorFlow and Keras, and skilled in data visualization tools like Power BI/Fabric and Matplotlib. Expertise in data wrangling, including cleaning, preprocessing, and transformation, with a solid foundation in statistics and probability. Excellent communication skills for engaging with technical and non-technical audiences across all organizational levels. Experience in UI development, translating UX/UI designs into code, data warehousing concepts, API development and integration, and workflow orchestration tools is desired. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field Relevant certifications in data science and machine learning are a plus About the team Our Technology Services Group (TSG) Team is responsible for delivering Innovative, data driven tech solutions. We build solutions that power analytics, enable machine learning, and provide critical insights across the organization. By joining our team, you will be part of exciting work in building scalable, next-generation data solutions that directly impact business strategy. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.