AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML. • Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Standard Skills: In-depth understanding of manufacturing workflows, production planning, and quality control. Familiarity with ISA-95 and ISA-88 standards for manufacturing systems. Experience working with shop floor automation and IoT devices. Good To have skills: MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing. Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Category: Infrastructure/Cloud Main location: India, Karnataka, Bangalore Position ID: J0525-1644 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Machine Learning Engineer Position: Senior Systems Engineer Experience: 3-8 years Category: Software Development/ Engineering Shift: 12:30 AM IST to 9:30 PM IST Main location: Bangalore Position ID: J0525-1644 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description:. Must have skills : Must have experience in Programming Language (Python, R). Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras. NLP Libraries : NLTK, spaCy, or Stanford CoreNLP. Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn. Experience with cloud-based platforms: AWS, Azure, or Google Cloud. Must have 3+ years of relevant experience in machine learning, NLP, or a related field. Experience with automated process development, deployment, and maintenance. Should be familiar with ticketing systems and auditing processes is a plus. Soft Skills : Excellent communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Strong problem-solving skills and attention to detail. Good to have skills : 1. Experience with containerization: Docker, Kubernetes, or other containerization tools. 2. Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment. 3. Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks. 4. Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world Skills: Artificial Intelligence Cloud Computing Data Analysis English Natural Language Processing Python What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.

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 Large Language Models Good to have skills NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Role: AI Engineer Experience: 5-8 years Location: Bangalore, India Type of Employment: Full-time, Hybrid About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL/ Evolutionary AI team (LEAF) : The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Be customer advocate that implement our Neuro AI offering. Design, develop, and implement advanced AI models, with a focus on generative AI, agents, and foundation models for enterprise Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Experiment with multi-agent systems framework to create context-aware, goal driven agents integrated into workflows. Consistently deliver high-quality software and seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in AI in the area of Evolutionary AI Collaborate with cross-disciplinary teams to conceptualize and develop AI based solutions and demos. Contribute to research publication of research and actively engage in open-source communities Assist in preparing internal technical documents, presentations, etc. Work in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team Your profile: Bachelor’s/Master’s in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development and algorithm design. 3+ years of experience in AI/ML engineering role preferred in a enterprise, research or innovation lab setting. Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic etc. Strong programming and engineering skills in Python, Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub etc. Solid understanding of AI agent frameworks and strong interest in agentic AI research Active contributor to GitHub or similar platforms demonstrating AI projects, open-source contributions or published research. Ability to rapidly work with minimal supervision on projects involving both small and large teams Ability to work autonomously and prioritize multiple tasks Cloud environments for processing big data (AWS, Azure, Google cloud) Deep knowledge of relational, structured, semi-structured and unstructured data systems, and the experience to know when to use each type of system. Familiarity with modern commercial software development: unit tests, code reviews, secure and clean code. Excellent verbal and written communication skills in English Preferred/Highly Desirable Qualifications: Experience with RESTful services, JSON and XML metadata, Docker containers. Experience with machine learning, evolutionary algorithms a plus. Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns. Research mindset with experience in publishing research work Experience in working in IT service, consulting, or client-facing roles Familiarity with cloud platforms and enterprise AI solution deployment Continuous learner with demonstrated passion for R&D and think long-term.

Job Role: AI Research Scientist Experience: 10+ years Location: Bangalore, India About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL: The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. bout the role: We are seeking a passionate and driven AI Research Scientist to join our Advanced AI R&D lab team in India. You will work with the Advanced AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. As an AI Research Scientist, you will focus on advancing the state-of-the-art AI with emphasis on Generative AI, LLMs, and domain specific AI solutions. You will collaborate with other researchers, engineers, business stakeholders, architects, and domain experts to translate research breakthroughs into scalable products and solutions. Detailed Job Description: Your role: As a research scientist, you will work with the Advanced AI Labs research team to understand and push the frontiers of AI, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. The team's current research is focused around areas including, but not limited to: Multi-agent systems AI for decision-making AI orchestration Trustworthy AI Open-ended AI LLMs Evolutionary computation Key Responsibilities: Conduct advanced research in AI/ML, Generative AI, LLMs, and adjacent fields to solve complex and impactful business and societal problems (AI-for-Good). Design, develop, and optimize models and algorithms involving novel architecture and training methodologies and advance AI capabilities. Publish research findings in top-tier peer-reviewed journals and conferences, e.g., IEEE Collaborate cross-functionally with product teams, AI engineers, domain SMEs, and client teams to transition research prototypes into production ready solutions Contribute to open-source communities through active GitHub engagement Stay abreast of the latest developments Mentor junior researchers and engineers Advise AI engineers on the development of practical applications Your Profile: PhD in Computer Science or another technical field. Exceptional bachelor’s or master’s degree candidates will also be considered. The ideal candidate will have theoretical and hands-on experience with LLMs. 2 years of experience with multi-agents 5+ years of experience in AI or ML research Publications at venues such as IEEE, ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc. Strong implementation skills Strong development and debugging skills in Python Experience with AI framework such as PyTorch, TensorFlow, LangChain, Keras, Scikit-Learn Strong problem-solving and analytic skills Strong attention to detail and ability to work independently Excellent verbal and written communication skills Strong publication record in top-tier conferences, workshops or journals.

AI Data Scientist Locations: Pune, India Buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing AI enabled enterprise solutions that contribute to optimized energy utilization, auto- generation of building insights and enable predictive maintenance for installed devices. Our Data Strategy & Intelligence team is looking for a Data Scientist to join our growing team. You will play a critical role in developing and deploying machine learning/Generative AI and time series analysis models in production. The Role To be successful in this role, the Data Scientist should have a deep knowledge of machine learning concepts, Large Language Models (LLM) including their training , optimization and deployment, time series models as well as experience in developing and deploying ML/Generative AI/ time series models in production. What you will do As An AI Data Scientist At Johnson Controls, You Will Help Develop And Maintain The AI Algorithms And Capabilities Within Our Digital Products. These Applications Will Use Data From Commercial Buildings, Apply Machine Learning, GenAI Or Other Advanced Algorithms To Provide Value In The Following Ways Optimize building energy consumption, occupancy, reduce CO2 emissions, enhance users’ comfort, etc. Generate actionable insights to improve building operations Translate data into direct recommendations for various stakeholders Your efforts will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and well-written software. To be successful in this role, the AI Data Scientist should be comfortable applying machine-learning concepts to practical applications while handling the inherent challenges of real-world datasets. How you will do it Contribute as a member of the AI team with assigned tasks Collaborate with product managers to design new AI capabilities Explore and analyze available datasets for potential applications Write Python code to develop ML/Generative AI/time series prediction solutions that address complex business requirements Research and implement state-of-the-art techniques in Generative AI solutions Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs Follow code-quality standards and best practices in software development Develop and maintain test cases to validate algorithm correctness Assess failures to identify causes and plan fixes for bugs Communicate key results to stakeholders Leverage JIRA to plan work and track issues What we look for Bachelor's / Master’s degree in Computer Science, Statistics, Mathematics, or related field. 5+ years of experience of developing and deploying ML Models with a proven record of delivering production ready ML models. Proficiency with Python and standard ML libraries, e.g., PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers. Strong understanding of ML algorithms and techniques, e.g., Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs and Time Series prediction models. Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training. Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development / deployment. Excellent verbal and written communication skills. Preferred Prior Domain experience in smart buildings and building operations optimization Experience in working with Microsoft Azure Cloud. Show more Show less

Job Role: AI Engineer Experience: 5-8 years Location: Bangalore, India Type of Employment: Full-time, Hybrid About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL/ Evolutionary AI Team (LEAF) The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key Responsibilities Be customer advocate that implement our Neuro AI offering. Design, develop, and implement advanced AI models, with a focus on generative AI, agents, and foundation models for enterprise Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Experiment with multi-agent systems framework to create context-aware, goal driven agents integrated into workflows. Consistently deliver high-quality software and seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in AI in the area of Evolutionary AI Collaborate with cross-disciplinary teams to conceptualize and develop AI based solutions and demos. Contribute to research publication of research and actively engage in open-source communities Assist in preparing internal technical documents, presentations, etc. Work in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team Your Profile Bachelor’s/Master’s in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development and algorithm design. 3+ years of experience in AI/ML engineering role preferred in a enterprise, research or innovation lab setting. Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic etc. Strong programming and engineering skills in Python, Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub etc. Solid understanding of AI agent frameworks and strong interest in agentic AI research Active contributor to GitHub or similar platforms demonstrating AI projects, open-source contributions or published research. Ability to rapidly work with minimal supervision on projects involving both small and large teams Ability to work autonomously and prioritize multiple tasks Cloud environments for processing big data (AWS, Azure, Google cloud) Deep knowledge of relational, structured, semi-structured and unstructured data systems, and the experience to know when to use each type of system. Familiarity with modern commercial software development: unit tests, code reviews, secure and clean code. Excellent verbal and written communication skills in English Preferred/Highly Desirable Qualifications Experience with RESTful services, JSON and XML metadata, Docker containers. Experience with machine learning, evolutionary algorithms a plus. Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns. Research mindset with experience in publishing research work Experience in working in IT service, consulting, or client-facing roles Familiarity with cloud platforms and enterprise AI solution deployment Continuous learner with demonstrated passion for R&D and think long-term. Show more Show less

What you’ll do Lead and conduct independent validations of AI/ML models(traditional and Generative AI) across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, and AML. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validations. Drive AI validation projects by conceptualizing, planning, and executing them to ensure their successful implementation and alignment with organizational goals. Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment. Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. Stay updated on the evolving regulatory landscape around AI and ML Mentor and develop team members, fostering a culture of collaboration and building a robust, knowledgeable team. Utilize Google Cloud Platform(GCP) to enhance efficiency by automating workflows and improving process integration. Contribute to the design and execution of model testing and monitoring processes. What experience you need 6+ years of model validation or Model Risk Management experience preferably within the banking and financial services domain, with a deep understanding of industry-specific requirements and challenges. Demonstrated expertise in AI techniques(Machine learning, natural language processing, deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit- learn or equivalent required. Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously Foundational knowledge of Generative AI, with relevant coursework. Must stay updated on latest trends and regulations in this field. Advanced level programming in Python and SQL Strong interpersonal skills with the ability to lead teams, manage client relationships, and collaborate effectively with partners. Experience collaborating with partners, stakeholders and teams across multiple geographies and levels of the organization In-depth knowledge of regulations surrounding AI in the banking industry and practical experience in credit risk and fraud models. Ability to articulate complex concepts clearly and effectively to diverse stakeholders, ensuring understanding across various levels of technical proficiency. Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science or other relevant discipline, demonstrating a high level of expertise and commitment to the field. What could set you apart Experience in developing, validating or implementing Gen AI models Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9 First hand experience on cloud based platforms including GCP & AWS Excellent communication and presentation skills Show more Show less

Job Title: Deep Learning Engineer Job Description: We are seeking a skilled Deep Learning Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in Python and software development Key Responsibilities: Develop and implement AI models and algorithms to solve business problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze and interpret complex data sets to provide actionable insights. Stay updated with the latest advancements in AI and machine learning technologies. Provide technical guidance and support to clients and team members. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn. 3-5 years of experience in AI development and deployment. Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork abilities.

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 6 years Location: Bangalore JobType: full-time About The Role We’re looking for an Advanced AI Scientist who thrives at the intersection of cutting-edge research and production-grade AI development. In this role, you will lead initiatives to build and deploy generative AI systems with applications across vision and language . From fine-tuning large-scale transformer models to integrating computer vision pipelines, your work will power next-generation features across our AI-driven product suite. This role offers an opportunity to dive deep into generative models, leverage both LLMs and computer vision systems , and collaborate with a team that believes in pushing technical boundaries. What You’ll Do Architect and train generative AI models including diffusion models, GANs, and transformer-based systems for text and image generation. Fine-tune and optimize Large Language Models (LLMs) like GPT, T5, or BERT for use cases such as summarization, content generation, and intelligent chat interfaces. Develop robust computer vision pipelines using OpenCV for tasks such as image enhancement, object recognition, or scene understanding. Collaborate with cross-functional teams across product, engineering, and design to embed intelligent capabilities into production systems. Prototype with Keras, PyTorch, and TensorFlow to build scalable models that transition smoothly from research to production. Analyze large datasets, clean noisy inputs, and build preprocessing pipelines optimized for multimodal AI workflows. Stay current with research developments in AI/ML—transformers, diffusion models, multimodal learning—and bring those insights into applied projects. Ensure high availability and performance of models in cloud and edge environments via containerized deployments using Docker and Kubernetes. Contribute to internal knowledge sharing and mentor junior members of the AI/ML team. What You Bring 6–11 years of hands-on experience in AI/ML engineering , particularly in generative models and applied deep learning. Deep expertise in Python , with practical knowledge of PyTorch , TensorFlow , and Keras . Experience designing, fine-tuning, and deploying LLMs in real-world applications. Strong foundation in computer vision , including techniques like image segmentation, detection, and transformation using OpenCV . Fluency in NLP techniques—tokenization, embeddings, transformers, attention mechanisms, etc. Comfort working with cloud environments (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes . Demonstrated ability to deliver AI models from experimentation to production. Strong communication skills and ability to work cross-functionally in agile teams. Preferred Master’s or PhD in Computer Science, Machine Learning, AI, or related fields. Research publications or open-source contributions in generative AI or computer vision. Experience working in fast-paced startups or product-centric environments with ownership of AI initiatives. Familiarity with vector databases, prompt engineering, or multimodal AI systems. Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Data Science Manager- Data Analytics Team, Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery’s Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will: Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions. Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting. Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability. Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle. Define and implement best practices for the team, setting high standards for technical quality and innovation. Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations. Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives. Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models. Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities. Drive observability, scalability, cost-optimization, and performance tuning for data science models and services. Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions. Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale. Qualifications 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team. Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders). Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark). Proficiency in programming languages such as Python or R. Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models. Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring. Experience with offline experimentation and A/B testing. Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Understanding of batch and streaming data processing techniques. Experience of Databricks, AWS, GCP, or Azure. Experience with Docker and Kubernetes. Experience with CI/CD tools like GitHub Actions, Jenkins, etc. Familiarity with agile practices and processes. Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support. BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus. Other Qualifications Proven track record of leading cross-functional teams and delivering ambitious projects. Passionate about technical excellence and innovation, with a hands-on approach to problem-solving. Strong focus on customer needs and rapid feature iteration. Strong interpersonal skills with the ability to motivate, collaborate, and influence. Ability to deliver on multiple projects and meet tight deadlines. Ability to effectively influence and communicate cross-functionally with all levels. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

We are seeking a highly skilled Generative AI Consulting Director to join our dynamic team, where they will lead our consulting team, manage the delivery of consulting services, guide clients through the implementation of our Gen AI platform, and ensure the successful adoption of the platform across industries. Key Responsibilities: Lead or mentor a global team of AI consultants, solution architects, and professional services teams. Develop and execute the strategy for consulting and professional services for the Gen AI platform. Manage the end-to-end Implementation our platform in client environments, ensuring high quality implementations, on time delivery, and alignment with customer expectations. Work closely with clients to understand their business challenges and design tailored solutions using the Gen AI platform. Lead the development of solution architectures, ensuring that proposed solutions are scalable, innovative, and aligned with the client's objectives. Collaborate with product development, GTM, and engineering teams to ensure successful implementation and integrations. Provide feedback to product teams based on client needs and market trends to continuously improve the platforms offerings. Drive client success by ensuring that Gen AI platform implementation deliver measurable value and return on investment (ROI). Work closely with clients to define successful metrics, track project outcomes, and guide the optimization of AI models and systems post-implementation. Manage P&L for the Consulting and Professional Services division, ensuring profitability through effective project management, cost control, and client retention. Develop and implement strategies to drive revenue growth within the professional services arm. Ethical and Responsible AI: Adhere to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage. Research and Innovation: Stay updated with the latest advancements in AI technologies, frameworks, and algorithms. Conduct research and experimentation to explore innovative approaches and techniques that can enhance AI capabilities. Mandatory Qualifications/Skills: A bachelors or masters degree, or equivalent, in computer science, Artificial Intelligence, or a related field. 15+ years of experience in consulting or professional services, with at least 5 years in a leadership role overseeing a team of AI consultants or solution architects Extensive experience in delivering Generative AI solutions and familiarity with AI platforms, including knowledge of NLP, deep learning, and reinforcement learning. Experience with large language models (LLMs) and prompt engineering. Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various use cases Proficiency in languages such as Python, Scala, or Java In depth knowledge of both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., Vector databases, MongoDB, Cassandra etc). Expertise in Gen AI/AI libraries / frameworks, including but not limited to LangChain, LangGraph, LangSmith, TensorFlow, PyTorch, scikit and Keras Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Proven experience in managing client relationships and understanding their business needs to deliver successful AI solutions. Strong understanding of AI systems architecture and the ability to design and implement complex AI solutions for clients across various industries. Experience with project management methodologies, and a proven ability to manage large, complex projects to successful completion. Excellent leadership, mentoring, and team building skills, with a track record of developing high performing teams. Strong business acumen, with the ability to balance technical expertise with client centric decision making. Outstanding communication and presentation skills, capable of engaging with senior executives and non-technical stakeholders. Strong problem solving and analytical skills, with the ability to think creatively and provide innovative solutions Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT, and experience with NVIDIA GPU hardware and the software stack. Familiarity with High Performance Computing (HPC) and their integration of AI workloads. Familiarity with Big Data platforms and technologies, such as Hadoop or Apache Spark and their integration with AI solutions.

Position Summary The AI Advisory Architect at HCLTech AI and Cloud Native Labs will need to have comprehensive and in-depth knowledge of Google AI and Cloud offerings. The role requires expertise in creating effective training programs and their content, manage training of candidates in cohorts, deliver high quality trainings on AI and related technologies and their applications to candidates from diverse backgrounds including developers and sales personnel. You will be an expert technical resource comfortable in engaging and influencing HCL leadership, clients, and technologists by leading in technical discussions on AI and GenAI. Key Responsibilities Technical Leadership Stay abreast of the latest developments in AI technologies and methodologies. Demonstrate thought leadership when presenting AI and GenAI concepts and technologies in trainings and to client leadership effectively with audience from wide backgrounds. Lead technical discussions on AI and Gen AI to advise and influence HCL leadership and clients. Collaborate with global peers from Google and other partner ecosystems (Intel, NVIDIA etc.) on joint technical projects. Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, bring innovative approaches, and meets client expectations. Service Delivery and Innovation Provide consulting and advisory services to Clients and Internal stakeholders about AI and Gen AI technologies. Design training programs on GenAI concepts and technologies and create their content. Plan, Manage and Execute trainings in cohorts and effectively present AI concepts and technologies to wide range of audiences according to their objectives. Provide expert training to HCL employees as well as external clients, focusing on practical applications of AI in real-world scenarios. Educate sales teams on AI concepts and technologies, enabling them to better understand and sell AI and GenAI solutions. Thought Leadership and Trainings Demonstrate HCL thought leadership with an expert understanding of advanced AI and GenAI solutions in client engagements and trainings. Publish content (whitepapers, blogs, e-books etc.) demonstrating expertise and innovation in the AI and GenAI solutions. Design and develop structure and content for comprehensive programs on AI and related technologies. Manage training cohorts and conduct sessions for training programs on AI and related technologies for audience with diverse backgrounds. Skills and Experience Mandatory Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred. Experience: 8+ years in AI and Machine Learning • At least one Google Cloud and AI certifications • Technologies: Good exposure to Python and AI Frameworks like PyTorch, Keras, TensorFlow, Google Generative AI etc. Expert understanding of Google AI and Cloud Offerings and their applications. o Strong foundation in AI concepts and related topics such as AI Governance and Ethics o Exposure Data Engineering skills for preparing data for use in AI solutions and Big Data technologies like Hadoop, Spark etc. Must have experience with designing, developing, testing, deploying, operating, and optimizing AI solutions for wide range of client use cases. Expert communication and presentation skills, capable of presenting and influencing large audiences in training sessions, seminars, and conferences as well as high level executives. Desired The ideal candidate will have a strong background in AI technologies, and a proven track record in coaching, and a broad understanding of cloud technologies. Ability to develop and communicate a strategic vision for AI education and training. Excellent problem-solving skill and ability to work in team environment. Understanding of modern computing paradigms and their applications in AI. Ability to develop and communicate a strategic vision for AI education and training. Be capable of working in projects according to Agile methodologies. Soft Skills and Behavioural Competencies Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective crosscultural collaboration. Adept at driving organizational change and fostering a culture of innovation.

Job Title: Data Scientist – Deep Learning, NLP, Generative AI & Computer Vision Location: Hyderabad, India Job Type: Full-time Experience: 3–8 years Industry: IT / Artificial Intelligence / Software Services Job Summary: We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning, Natural Language Processing (NLP), Generative AI, and Computer Vision to join our team in Hyderabad. The ideal candidate will be responsible for designing, building, and deploying advanced AI models to solve real-world problems and drive innovation across our product lines. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (Ph.D. preferred). 3+ years of experience in applied machine learning or data science roles. Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Hands-on experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience with computer vision tools (e.g., OpenCV, YOLO, CNNs, Vision Transformers). Exposure to Generative AI models like GPT, DALL·E, or Stable Diffusion. Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. Excellent problem-solving skills and ability to work in a fast-paced environment. Interested can share your resume at giribabu@pranathiss.com Show more Show less

Role & responsibilities Programming skills in Python scikit-learn, River for building and evaluating ML models Exp. XGBoost and/or LightGBM for time-series forecasting. TensorFlow or Keras for implementing and training deep learning models Data preprocessing ,pandas & NumPy

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities : The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data and metrics. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What to Bring: BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 4+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Proficiency in writing complex SQL queries. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all levels How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

We are looking for a passionate and motivated AI/ML Python Engineer with at least 6 months of hands-on experience to join our growing team. You will work on building and deploying intelligent systems using Python, data science tools, and machine learning frameworks. This role is ideal for candidates with a solid foundation in machine learning and a strong willingness to learn and grow in a dynamic environment. Key Responsibilities: Develop and deploy machine learning models for real-world applications Work with structured and unstructured data for data cleaning, preprocessing, and analysis Build pipelines for model training, evaluation, and optimization Collaborate with cross-functional teams (data engineers, product managers, etc.) Write clean, maintainable, and well-documented Python code Use libraries like NumPy, Pandas, scikit-learn, TensorFlow/PyTorch for model development Monitor model performance and retrain models as necessary Assist in building APIs to serve ML models (Flask/FastAPI) Requirements: Bachelor’s degree in Computer Science, Engineering, or related field Minimum 6 months of relevant experience in ML/AI projects Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of basic machine learning algorithms (e.g., regression, classification, clustering) Familiarity with deep learning frameworks (TensorFlow, Keras, or PyTorch) Knowledge of data preprocessing, model evaluation metrics, and overfitting/underfitting concepts Experience working with Jupyter Notebooks, Git, and basic cloud platforms (AWS/GCP/Azure is a plus) Good to Have: Experience with NLP or computer vision projects Familiarity with MLOps tools and model deployment techniques Exposure to real-world datasets and Kaggle competitions Basic knowledge of Docker and API integration Why Join Us? Opportunity to work on impactful AI/ML projects Supportive and collaborative work culture Continuous learning and development opportunities Exposure to cutting-edge tools and technologies How to Apply: Send your resume and any project/GitHub portfolio links to hr@signoretech.com . Job Types: Full-time, Part-time, Permanent, Fresher, Contractual / Temporary, Freelance Pay: From ₹12,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Work Location: In person

Job Description : We are looking for a Python programmer with expertise in Machine Learning and Deep Learning to support PhD students and researchers. You will help build ML/DL models, process data, and write code for research projects, especially in academic fields like image processing, NLP, IoT, and more. Key Responsibilities: Understand PhD research problems and provide technical solutions Write and test Python code for ML/DL algorithms Use libraries like TensorFlow, Keras, PyTorch, scikit-learn, etc. Work on deep learning models such as CNN, RNN, LSTM, etc. Preprocess and analyze research datasets Optimize model performance (accuracy, speed, etc.) Help prepare technical reports or code explanations for research papers/theses Ensure code is clean, documented, and reusable Collaborate with research writers and analysts Requirements: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field Strong programming skills in Python Good understanding of machine learning and deep learning techniques Experience with ML/DL libraries and frameworks Ability to work with academic datasets and solve real research problems Knowledge of areas like image processing, NLP, bioinformatics, or wireless networks is a plus Experience in academic or research projects is preferred Ability to explain code clearly to non-technical clients Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Work Location: In person

Summary As a Data Science expert, you will join our Modeling & Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team! About The Role Key responsibilities Your Responsibilities Will Include, But Are Not Limited To Act as the M&S Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guide decisions such as compound progression and in vivo study prioritization Master and advocate the use of in silico models and in-house tools, applications and data to accelerate and streamline decision making Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs Identify opportunities to create custom, project- or modality-specific in silico models and data strategy, and contribute to their development and implementation Proactively seek opportunities to increase the impact and awareness of M&S Data Science through clear and concise communications with internal and external audiences or various expertise Monitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery Role Requirements Essential requirements: Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences, data science, computational biology, computational chemistry or related field) PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes Experience in the application of (reproducible) data science methods, tools and practices to drug discovery Strong understanding of statistics, machine learning and deep learning Demonstrated knowledge of data visualization and exploratory analysis Solid skills in programming languages, i.e. Python and R, including software development practices such as version control, testing, documentation, etc. Knowledge of machine learning/deep learning libraries such as scikit-learn, keras or pytorch Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) Desirable Expertise with discovery-stage PK modeling for small molecule compounds (e.g., relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus Experience with generative algorithms and explainable AI Languages English. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Company Description About the organization: Ubisoft is a leading developer and publisher of video games worldwide whose brand portfolio covers blockbusters such as Assassin’s Creed, Watch Dogs, The Division, Prince of Persia and Splinter Cell, Ghost Recon, Rainbow Six, Rayman, Just Dance as well as games for the whole family, from Imagine and Petz to Raving Rabbids. To continue building on its achievements for the future, Ubisoft is looking for new talent for its growing Indian studios! We favor diversity, creativity, drive and team spirit. If you have the skills and the desire to succeed, we want you to be a part of this exciting period of growth To continue building on its achievements for the future, Ubisoft is looking for talented candidates for its growing Indian studios! Job Description Gen AI Programmer: We are looking for a passionate and talented Gen AI Programmer to join our team and contribute to our machine learning and generative AI projects. We want to apply use of Gen AI and Machine learning into various areas of game development like Art, animation, sound, narrative etc. to cut down the iteration time and improve efficiency of the various teams. Job Responsibilities Conduct research and development in the fields of machine learning and generative AI. Design, implement, and evaluate machine learning models and algorithms. Evaluate and identify the most suitable open-source model for a given use case. Collaborate with stakeholders to collect and sanitize data, perform training. Collaborate with cross-functional teams to integrate AI solutions into products and services. Stay up to date with the latest advancements in AI and machine learning technologies. Maintain documentation of research finding and share it on appropriate platforms and conferences. Mentor junior team members and provide technical guidance. Keep your manager and stakeholders updated all the time. Competencies and Skills Strong background in machine learning, deep learning, and generative AI. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders. Strong communication and collaboration skills to work across technical and non-technical teams. Solution-driven mindset, capable of handling technical roadblocks and performance optimization. Quick learner, self-motivated and open-minded personality who keeps on looking for opportunities to create an impact. Preferred Competencies Understanding of game development process. Additional Information All your information will be kept confidential according to EEO guidelines. Show more Show less

We are looking for an experienced and passionate Data Science Trainer who can deliver high-quality training to students, working professionals, and corporate clients. The ideal candidate should be proficient in the latest tools and technologies in the data science field and have a passion for teaching and mentoring. Key Responsibilities: Deliver Engaging Training Sessions: Conduct in-depth, interactive training sessions (online/offline) on core Data Science topics, including Python programming, statistics, machine learning, and data visualization. Curriculum Development: Design, structure, and regularly update course content, projects, and assessments based on current industry standards and student needs. Hands-On Project Guidance: Mentor students on capstone and real-time projects using real-world datasets to strengthen their practical skills and portfolio. Technical Evaluation: Develop and assess assignments, quizzes, and case studies to measure students progress and provide constructive feedback. Interview Preparation: Conduct mock interviews, technical tests, and soft skills sessions to prepare students for job placements in data-related roles. Technology Upgradation: Stay updated with evolving tools and technologies like TensorFlow, Power BI, Tableau, Spark, and integrate them into training modules as needed. Mentorship & Support: Provide personalized mentorship and career guidance to help learners overcome challenges and reach their goals. Corporate & Workshop Training (Optional): Conduct specialized workshops, webinars, and corporate training sessions based on demand. Key Skills Required: Strong knowledge of Python , NumPy , Pandas , Matplotlib , Seaborn Proficiency in Machine Learning (Supervised & Unsupervised algorithms) Hands-on experience with Scikit-learn , TensorFlow , or Keras Familiarity with SQL , Statistics , Data Wrangling , and Data Visualization Exposure to Deep Learning , NLP , and Big Data Tools is a plus Experience with platforms like Jupyter Notebook , Google Colab Strong communication and presentation skills Why Join Uncodemy? Work with a passionate and skilled team of trainers. Opportunity to shape the careers of aspiring professionals. Flexible working hours and a positive work environment.

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Proficient in Python programming and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch. Strong experience with ETL and Data Warehouse. Good experience with IOT is required. Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing methodologies. Strong Python/Pyspark knowledge enabling data preprocessing and historical feedback loop for context loading for LLM. Familiarity with SQL databases (MySQL/ SQL Server) and vector databases like (Qdrant, Faiss). Proven track record of delivering successful AI projects that demonstrate measurable impact on business outcomes. Strong analytical skills with the ability to interpret complex data sets. Master’s or PhD in Computer Science, Data Science or related field preferred. Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!