5485 Deep Learning Jobs - Page 29

Gen AI Lead/Architect Engineer JD (5-8 years) Job Description About the Role We are seeking a hands-on and forward-thinking Gen AI Lead Engineer with 58 years of experience to lead the development of cutting-edge GenAI solutions. Youll work on taking modern large language models (LLMs) from prototype to production, orchestrating multi-agent workflows using advanced frameworks like LlamaIndex Workflows , LangGraph , and structured function calling. An ideal candidate has a strong foundation in classical ML (e.g., XGBoost), deep learning with transformer-based architectures (such as LLaMA and Qwen-family models ), and hands-on experience building Retrieval-Augmented Generation (RAG) pipelines. This role is perfect for someone who thrives at the intersection of research, engineering, and real-world applicationowning everything from system design to scalable deployment. Key Responsibilities Design, build, and deploy ML/DL models for: Tabular data (e.g., XGBoost) NLP and GenAI (e.g., RAG, tool/function calling) Fine-tune and serve LLMs using Hugging Face , PyTorch , and efficient-tuning techniques like LoRA , QLoRA , and PEFT . Architect and implement agent-based LLM solutions with tools like LlamaIndex , LangGraph , or LangChain Agents . Design multi-step tool-calling workflows and structured function-calling strategies for complex tasks. Orchestrate agent memory, state management, and contextual conversations. Develop and maintain FastAPI microservices for low-latency GenAI inference, streaming, and secure system integration. Deploy ML pipelines and training jobs in the cloud (preferably Azure , also AWS ). Handle end-to-end MLOps: CI/CD, containerization (Docker), GPU/ACI deployment, observability, and cost governance. Collaborate cross-functionally with product, data, and frontend teams to translate abstract ideas into tangible outcomes. Required Skills & Qualifications Strong Python programming skills; experience with FastAPI and/or Java is a plus. Proven experience with: XGBoost or similar ML models for tabular data. YOLO , OCR , and PyTorch for vision and text extraction tasks. Deep knowledge in NLP / GenAI: LLM fine-tuning, prompt engineering, and RAG design. Proficiency with Hugging Face Transformers , PEFT , and vector databases. Implementation of agent frameworks like LlamaIndex , LangGraph , or LangChain Agents . MLOps & Deployment: Experience with Docker, CI/CD pipelines, experiment tracking, model versioning, and rollback mechanisms. Cloud Proficiency: Azure ML , Azure Functions, AKS (preferred) or AWS SageMaker , Lambda. Bonus : experience with Triton / vLLM, streaming websockets, or GPU cost-optimization. Benefits of Working with Us: Best of Both Worlds: Enjoy the enthusiasm and learning curve of a startup combined with the deliveries and performance of an enterprise service provider. Flexible Working Hours: We offer a delivery-oriented approach with flexible working hours to help you maintain a healthy work-life balance. Limitless Growth Opportunities: The sky is not the limit when it comes to learning, growth, and sharing ideas. We encourage continuous learning and personal development. Flat Organizational Structure: We don't follow the typical corporate hierarchy ladder, fostering an open and collaborative work environment where everyone's voice is heard. As part of our dedication to an inclusive and diverse workforce, TechChefz Digital is committed to Equal Employment Opportunity without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. If you need assistance, you may contact us at joinus@techchefz.com

Principal Data Scientist/Senior Data Scientist/Data Scientist - NLP/Machine Learning Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Senior Consultant- Gen AI: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve , providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines. What you will be doing at Evalueserve Expertise in Data Analysis, Statistics, Computer Vision, AI & Machine Learning Concepts Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI/ML Design and develop applications powered by Large Language Models (LLMs) like GPT-4, Claude, Gemini, and open-source models ( LLaMA , Mistral, etc.) Implement RAG pipelines using LangChain and LangGraph for production-ready applications. Build and orchestrate autonomous and tool-using LLM agents. Integrate with vector databases (e.g., Pinecone, Chroma, Weaviate , FAISS) for semantic search and memory storage. Use tools like OpenAI Function Calling, React, or LangGraph Agents for decision-based workflows. Deploy applications using cloud platforms (Azure, AWS, GCP) with APIs, microservices, or serverless functions. Collaborate with product and design teams to develop chatbots, copilots, and multimodal interfaces. Monitor performance, cost, latency, and evaluate prompt effectiveness through prompt engineering best practices. Fine-tune, quantize, or use adapters ( LoRA , PEFT) for open-source models where applicable. Stay up to date with the latest advancements in Gen AI, MLOps , and AI safety principles. What were Looking For: - Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, or a related field. 8-12 years of experience as a Data Scientist with strong skills in Python, NLP, Deep Learning, and Statistics. Hands-on experience with LangChain , LangGraph , and building LLM Agents for real-world AI applications. Strong Python skills with experience in deploying Gen AI apps using frameworks like FastAPI or Streamlit . Expertise in Retrieval-Augmented Generation (RAG) and working with vector databases like Pinecone, FAISS, or Chroma. Deep understanding of prompt engineering, OpenAI function calling, and chaining logic for dynamic interactions. Familiarity with cloud platforms such as Azure and AWS and deploying models to these platforms. Strong problem-solving and analytical skills with excellent communication and presentation skills. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about how Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note : We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you .

We are seeking a talented and motivated Data Scientist to join our team and play a key role in developing innovative AI solutions using the AWS technology stack. You will be responsible for developing, assessing , and fine-tuning various AI and machine learning models and oversee training, testing and deployment of these models. You will work closely with cross-functional teams, including, data engineers, AI engineers, software engineers, DevOps engineers and product managers, to bring AI-powered solutions to life and drive clinical trial acceleration and insights. Responsibilities ML Model Development and Deployment: Leverage state-of-the-art deep learning techniques to build scalable and high-performance solutions that drive innovation and efficiency. Utilize advanced architectures such as Long Short-Term Memory (LSTM) networks, Large Language Models (LLMs) and transformer-based models (e.g., BERT, GPT, T5) for tasks like text generation, sequence modeling, entity recognition and context-aware recommendations. Evaluate problem requirements and data features to select and implement the most suitable AI methodologies, including self-learning, reinforcement learning or other advanced techniques. Ensure chosen approach aligns with business objectives while balancing model accuracy, interpretability and computational efficiency. Train, fine-tune and evaluate AI/ML models using AWS services such as Amazon SageMaker, Amazon Bedrock and ML Compute to ensure scalability, robustness and cost-effectiveness in cloud-based environments. Collaborate with engineering teams to integrate and operationalize AI models into production systems, enabling real-time predictions and data-driven decision-making while ensuring reliability, scalability and low-latency performance. Data Expertise and Infrastructure: Analyze, process and extract actionable insights from complex datasets stored across AWS services such as Amazon S3, Redshift, RDS and DynamoDB. Utilize SQL, Python and other relevant programming languages to perform data wrangling, transformation and feature engineering to support AI model development. Explore and visualize large-scale datasets to identify patterns, trends, correlations and anomalies that can enhance AI model training and decision-making. Leverage statistical analysis, data mining techniques and domain knowledge to improve data-driven insights. Collaborate with data engineers and AI engineers to design and optimize scalable data pipelines and infrastructure.

4+ years of experience in AI/ML. Strong in Python, NumPy, SciPy, Scikit-learn, Matplotlib, and CUDA for GPU computing. Time Series Analysis, Standard ML Algorithms or Deep Learning Architectures. Required Candidate profile Practical experience with GenAI models and prompt engineering. Familiarity with containerization and deployment -Docker, FastAPI, Flask Solid grasp of statistics, model validation & evaluation metrics

What we're looking for: At least 5 years of experience in designing & building AI applications for customer and deploying them into production. Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure Experience with AutoML and vision techniques. Masters degree in statistics, machine learning or related fields.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Data Science . Experience: 5-8 Years .

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Generative AI . Experience: 5-8 Years .

Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge experience in Artificial Neural Network ( ANN ), AI conversational Chatbot Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics Communication/ Maths Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Title: Freelance Trainer Data Science & Data Analytics Location: Remote / Online (India) Engagement Type: Freelance / Part-time (Session-based) Key Responsibilities Deliver engaging live online classes and workshops on Data Science & Data Analytics . Teach core concepts such as: Python for Data Analysis Statistics & Probability SQL & Databases Excel for Analytics Data Visualization (Power BI / Tableau) Machine Learning Fundamentals Design and evaluate assignments, quizzes, and case studies for learners. Provide mentorship and guidance on projects and career paths. Develop/update training content to keep it industry-relevant . Collaborate with our internal team to ensure smooth delivery of programs. Required Skills & Experience 1+ years of teaching/training experience in Data Science / Analytics (online or classroom). Strong industry experience or academic background in Data Science, Statistics, or Computer Science. Hands-on expertise in Python, SQL, Excel, Power BI/Tableau, and ML libraries (Pandas, NumPy, Scikit-learn, etc.) . Excellent communication, presentation, and mentoring skills. Ability to simplify complex concepts for beginners and working professionals. Prior freelancing or corporate training experience is highly desirable. Nice-to-Have Experience with real-world projects and case studies. Familiarity with Generative AI tools (ChatGPT, Copilot, etc.) for analytics. Certification in Data Science / Analytics (e.g., Microsoft, Google, or other reputed bodies). Why Join Us? Be part of a growing EdTech platform making impact in upskilling India. Flexible teaching hours – work from anywhere. Opportunity to mentor industry professionals & students . Showcase your expertise and grow your profile as a subject matter expert. To Apply: Send your updated profile with training experience and demo session details to carrers@skillstackhub.com or Forward Your Resume on 7838376383.

About The Role We are looking for: Key Responsibilities: Model Development & Optimization: Design, train, and optimize ASR models using real-world data. Apply deep learning techniques to improve model accuracy and robustness. Use frameworks like PyTorch , TensorFlow , and ASR toolkits such as Kaldi or HTK . Deployment & MLOps: Deploy models into production environments. Collaborate with infrastructure and data engineering teams to maintain scalable data pipelines. Implement continuous training and evaluation workflows. Required Qualifications: Bachelors in Computer Science , Machine Learning , Speech Recognition , or related fields. Minimum 2 years of experience in Python or C++. Strong foundation in machine learning , deep learning , and speech technologies . Experience with MLOps practices , bilingual ASR model design , and cloud-based deployment . About The Role - Grade Specific Grade4 to 6 years (B2) QualicaficationAny (Except B.com, B.sc, BA, B B A, M Com) Required Qualifications: Bachelors in Computer Science , Machine Learning , Speech Recognition , or related fields. Minimum 2 years of experience in Python or C++. Strong foundation in machine learning , deep learning , and speech technologies . Experience with MLOps practices , bilingual ASR model design , and cloud-based deployment .

Responsibilities: Conducting classroom and online lectures on programming languages (Data Science, Python, Data Analytics) and related technologies to students Assigning and evaluating coursework, quizzes, and projects Providing one-on-one assistance and mentoring to students as required Ensuring that the course curriculum is up-to-date and relevant to industry standards Collaborating with other trainers and course developers to develop new training materials Maintaining accurate student records and progress reports Creating a positive and engaging learning environment for students Participating in faculty meetings, staff development programs, and other professional development activities as required Staying up-to-date with the latest trends and developments and related technologies Requirements: A Bachelor's or Master's degree in Computer Science or a related field A minimum of 1 years of experience as a trainer Excellent communication and interpersonal skills Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep Learning, NLP and related technologies Experience working with databases such as PostgreSQL and MySQL A passion for teaching and helping students achieve their career goals Ability to work independently as well as in a team environment

Your Role Design and implement generative AI models using Azure Machine Learning, Cognitive Services, and OpenAI APIs. Fine-tune and deploy models like GPT, Stable Diffusion, or custom transformers on Azure infrastructure. Build and optimize inference pipelines for real-time and batch generation. Integrate generative AI into enterprise applications and workflows. Collaborate with data scientists, product teams, and designers to deliver AI-powered features. Monitor model performance, address bias/hallucination issues, and ensure reliability. Stay current with generative AI research and contribute to experimentation and benchmarking. Ensure compliance with data privacy and ethical AI standards. Your Profile Strong experience with Azure AI services (Azure OpenAI, Azure ML, Cognitive Services). Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face. Hands-on experience with LLMs, GANs, diffusion models, and transformer architectures. Familiarity with prompt engineering, fine-tuning, and RAG (retrieval-augmented generation). Experience with model deployment tools (ONNX, TorchServe, Triton). Knowledge of vector databases and embedding techniques. What you"ll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.

Role: Machine Learning Engineer Exp: 3-8 years Notice period: Immediate Mode: Work from office(5 days) Location: Hyderabad Looking for a driven and innovative Machine Learning Engineer to help us scale and foresee problems that aren't apparent. We're seeking a hands-on individual with a strong passion for data and a proven ability to translate complex data challenges into robust, scalable machine learning solutions. In this role, you'll be a key player in developing, deploying, and maintaining ML models that directly impact our core business functions and enhance user experiences. If you thrive in a collaborative, fast-paced environment, excel at working with diverse data sources, and possess a solid foundation in machine learning principles and MLOps, we encourage you to apply. Key Responsibilities Design, develop, and implement end-to-end machine learning models, from initial data exploration and feature engineering to model deployment and monitoring in production environments. Build and optimize data pipelines for both structured and unstructured datasets, focusing on advanced data blending, transformation, and cleansing techniques to ensure data quality and readiness for modeling. Create, manage, and query complex databases, leveraging various data storage solutions to efficiently extract, transform, and load data for machine learning workflows. Collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective, scalable, and maintainable ML solutions. Implement and maintain robust MLOps practices, including version control, model monitoring, logging, and performance evaluation to ensure model reliability and drive continuous improvement. Research and experiment with new machine learning techniques, tools, and technologies to enhance our predictive capabilities and operational efficiency. Required Skills & Experience 3-8 years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting. Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts. Proven expertise in data blending, transformation, and feature engineering , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data. Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable. Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R). Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision . Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ). Familiarity with MLOps tools and practices , including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs. Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Educational Background Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a closely related quantitative field.

About Client Hiring for One of the top most MNC!! Job Description Job Title : Data scientist Qualification : ANY GRADUATE Relevant Experience : 7 to 12 Years Must to Have: AI, ML,ML Stats, NLP, GenAI/Agentic AI experience is mandatory. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Proven experience with MLOps concepts and tools for model lifecycle management (e.g., ML flow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines). Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases. Experience with data preprocessing, feature engineering, and handling large datasets. Familiarity with software development best practices including version control (Git), code reviews, and CI/CD. Excellent problem-solving skills and the ability to work on complex, ambiguous problems. Strong communication and collaboration skills to work effectively with cross-functional teams. Location : HYDERABAD CTC Range : 25 LPA TO 30LPA Notice period : IMMEDIATE/CURRENTLY SERVING Shift Timing : N/A Mode of Interview : VIRTUAL Mode of Work : HYBRID Vardhani IT Staffing Analyst Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA. 8686127477 I vardhani@blackwhite.in I www.blackwhite.in

Job Title: Data Scientist ML, GenAI & Agentic AI Position Summary We are seeking a Data Scientist with a strong background in enterprise-scale machine learning , deep expertise in LLMs and Generative AI , and a clear understanding of the evolving Agentic AI ecosystem . The ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. Key Responsibilities ML & Predictive Systems Development Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs & Generative AI Build and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects , applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e.g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI & Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures , task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration & Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Required Qualifications Master’s or PhD in Computer Science, Data Science, Statistics, or related field. 5–8 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI , with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e.g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments.

Design, train, and optimize deep learning models for edge AI use cases: Computer vision (e.g., object detection, image classification, segmentation) Audio/speech processing (e.g., wake word detection, denoising) Signal processing across multimodal sensor data Develop scalable and efficient model training and evaluation pipelines. Quantize, prune, and compress models for real-time inference on NPUs, DSPs, and microcontrollers. Conduct applied research and benchmark new model architectures or techniques for edge deployment. Prepare and curate training/validation datasets using best practices for data quality and balance. Collaborate with embedded software engineers to integrate models into edge production environments. Monitor model performance, perform error analysis, and iterate for continuous improvement. Document model architectures, assumptions, and deployment requirements for stakeholders. Requirements Masterdegree (or equivalent experience) in Computer Science, Machine Learning, or a related discipline. 5+ years of hands-on experience in developing, optimizing, and deploying ML models in production. Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, ONNX , and tools like OpenCV , Ultralytics , or equivalent. Demonstrated experience with edge inference optimization : Model quantization and compression Deployment on NPUs , DSPs , or microcontrollers Familiarity with ARM Ethos-U/Vela , TensorRT , TFLite , or similar edge AI compilers is a strong plus. Solid understanding of signal processing for image, audio, and other sensor modalities. Experience with cloud-based training pipelines (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills, with a track record of innovation. Excellent communication and documentation skills.

Description Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes. Designation: Associate Consultant Job Location: Bangalore/Chennai Type of employment: Permanent Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch. Responsibility : Research & develop business use cases where we can integrate LLM efficiently. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases. Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP). Experiment with cutting-edge AI technologies and algorithms to solve complex problems. Collaborate with cross-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications. Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency. Implement best practices for model optimization and hyperparameter tuning. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward. Discover and investigate open-source models that can be utilized for specific tasks, such as summarization and sentiment detection. Proficiency in creating data pipelines. Experience: 4 to 5.5 years Additional skills: Hands on experience with Generative Models (OpenAI / Open-source models). Hands on experience with LLM Frameworks like LangChain and Llama Index. Hands on experience in building applications and solutions using Large Language Models. Must have expertise in Python Language. Expertise in Prompt Engineering. Good to have experience in LLM Fine tuning. Good to have experience with Azure Cloud computing. Qualifications Requirements: Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education 4+ years of work experience on analytic work. Should be inquisitive and have a learning mindset Willingness and ability to experiment with new tools and techniques Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings

Description Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes. Experience: 6 to 9 Years Required Skills: Deep understanding of Statistics and experience with Machine Learning algorithms/Techniques. Proven Programming skills in Particular R/SQL and Python, Strong experience with DL frame works such as TensorFlow, Theano and Others. Scientific Expertise and real-world experience in Deep learning (Convolutional neutral networks, restricted Boltzmann Machines and Deep neutral networks. Passion for solving challenging analytical problems. Ability to quickly, quantitively, and qualitatively assess a problem. Ability to work productively with team members, identify and resolve tough issues in a collaborative manner. Experience in applying Machine learning techniques to real world problems in a production environment. Roles and Responsibilities: Design, develop and deliver AI/Machine learning enabled solutions for our industry specific data analytics platform. Build scalable, available and support process to collect, Manipulate, present, and analyse large datasets in a production environment. Articulate Problem definition and work on all aspects of data including acquisition, exploration/Visualization, Feature engineering with ML algorithms and deploying models. Develop working prototypes of algorithms, evaluate, and compare metrics based on the real-world data sets. Provide design input specifications, requirements, and guidance to software engineers for algorithms implementation for Solution/Product development. Qualifications Qualifications: Minimum 6 years of profession Life Science/Pharma experience is required Degree in Applied Maths, Statistics or Machine learning techniques or Computer Science. Ph.D. /MS is preferred.

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

Job Title: Generative AI Engineer Location: Hyderabad, India Department: Artificial Intelligence / Machine Learning Job Type: Full-time | On-site Experience Level: Mid-Senior / Senior (48 years preferred) About the Role: We are looking for a talented and passionate Generative AI Engineer to join our AI/ML team in Hyderabad . You will work on cutting-edge projects involving large language models (LLMs), diffusion models, and transformer architectures to build scalable and innovative generative solutions. Key Responsibilities: Design, develop, and deploy generative AI models for various business use cases. Fine-tune large language models (like GPT, LLaMA, Mistral, etc.) on domain-specific datasets. Work with multimodal models (text, image, video, audio) and generative techniques (e.g., GANs, VAEs, diffusion models). Collaborate with cross-functional teams to understand product requirements and implement AI-driven features. Optimize models for performance, accuracy, and latency on production-scale systems. Stay updated with the latest research in generative AI and bring best practices into the team. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in building and deploying AI/ML models, preferably generative models. Proficient in Python and ML frameworks like PyTorch or TensorFlow. Solid understanding of transformer-based architectures (BERT, GPT, T5, etc.). Experience with Hugging Face Transformers, LangChain, or similar libraries. Exposure to prompt engineering, RAG (Retrieval-Augmented Generation), and LLMOps. Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Kubernetes). Strong problem-solving and communication skills. Preferred (Good to Have): Experience with multimodal models or image generation (e.g., DALL•E, Stable Diffusion). Knowledge of cloud platforms (AWS, Azure, GCP) and GPU/TPU deployment. Publications or contributions in AI research communities (arXiv, GitHub, etc.). Why Join Us? Work on impactful AI projects in a fast-paced and collaborative environment. Competitive salary with performance bonuses. Flexible work hours and hybrid setup. Access to state-of-the-art computing resources and open-source models. If you are passionate about building the next generation of AI systems and want to work with a team that values innovation and excellence, we’d love to hear from you! Please share your updated profiles to naseeruddin.khaja@infosharesystems.com