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Company Overview DevBytes is your ultimate go-to app for the latest content from the tech, startup, and dev worlds. With just a tap, you may dive into the freshest trends in AI, ML, cloud, AR/VR, cybersecurity, NLP, data science, DevOps, and everything coding. It is your one-stop platform for tech news on the fly, delivering trending updates daily from industry giants like Google, OpenAI, Apple, Meta, Amazon, X, Netflix, Tesla, Microsoft, SpaceX, and beyond. Stay in the loop on the stories that matter to you. Role and Responsibilities Design, develop, and optimize machine learning algorithms and models. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze large datasets to extract actionable insights and identify patterns. Research and implement state-of-the-art AI techniques and frameworks. Develop APIs or services to deploy models for real-world applications. Monitor and maintain the performance and accuracy of AI models in production. Ensure AI systems adhere to ethical guidelines, fairness, and privacy standards. Qualifications- Completed a Bachelor's/Master's in Computer Science or IT, with 2+ years of development experience. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of probability, statistics, and data analysis Hands-on experience with Python. Proven ability to write clean, efficient, and modular code. Deep understanding of machine learning fundamentals. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Show more Show less

Job Description: Mobility Core and Network Services (MCANS) team is part of the Network CTO organization that oversees the global mobile and fixed network technology direction for AT&T, which includes the design of the company’s 5G and IMS infrastructure. This team is responsible for the architecture, design, certification, testing and delivery of advanced Mobility Core network functions and Network Services applications, including for IP multimedia systems and packet data, which are the future of Mobility services and experiences. The team contributes to the growth and development of end-to-end wireless network services across Consumer, Enterprise, Internet of Things (IOT), FirstNet and public sector products. This position is part of a team that collaborates with client project teams in the development of Mobility Cloud platform delivery, CI/CD workflow automation. This is a very dynamic and exciting role that will allow for exposure to emerging mobility, virtualization, cloud technologies, and customer premise equipment! We are seeking candidates who are eager to learn and grow their skills as part of a diverse, talented, and energetic group of professionals working in the areas of voice over IP, cloud computing, data analytics, software development and technology delivery. REQUIRED SKILLS/QUALFICATIONS Voice over IP Experienced with VoIP Standards and fundamentals Experienced with VoIP protocols (SIP, Diameter, HTTPS) Experienced with VoIP Call Flow Design and Certification Experience with common access methods (RAN, BroadBand) Cloud Computing Deep understanding of virtualization, containerization, and Infrastructure as Code (IaC) concepts Skilled in various cloud platforms, e.g., Nokia Cloudband, Redhat OpenShift (OCP), Microsoft Azure Skilled in programming skills in a language like Python, JavaScript, or Java Good knowledge of networking concepts Test planning and execution Data Analytics Experienced with programming languages like Linux Shell, Python for data manipulation and analysis Good experience in Alarm treatment, analysis, and ticket generation Experienced with SQL and relational databases Understanding of data visualization and statistics Software Development & Delivery Deep understanding of Docker, OpenStack, and Kubernetes Experienced Continuous Integration/Continuous Deployment (CI/CD) Familiarity with Azure and ADO concepts Administrator level expertise in Linux Experienced in Ansible and Python scripting Experienced in YAML and JSON file types and their usage Basic familiarity of GO language and GIT EDUCATION REQUIREMENT Bachelor's Degree in a STEM discipline e.g. Computer Science, or Engineering. PREFERRED QUALIFICATIONS Telecom Industry (not mandatory but a plus): Basic understanding of telecommunications, network architecture, and wireless communication protocols. Exposure to network analysis and telecom-specific data sources. Familiarity with geospatial analysis, IoT, edge computing, and security and privacy concepts in the telecom industry. Artificial Intelligence/Machine Learning (not mandatory but a plus): Awareness of machine learning frameworks and concepts. Basic understanding of mathematics relevant to AI/ML. Familiarity with data preprocessing and model evaluation Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-58283 Date posted 06/17/2025 Benefits Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits. Paid Time Off Tuition Assistance Insurance Options Discounts Training & Development

Job Title: AI Engineer Location: Chennai, Tamil Nadu (5 days WFO) Experience: Minimum 2 Years Job Type: Full-time Job Summary: We are looking for a passionate and skilled AI Engineer to join our team in Chennai. The ideal candidate should have at least 2+ years of hands-on experience in designing, developing, and deploying AI/ML models. You will work on innovative projects involving natural language processing (NLP), computer vision, recommendation systems, and more, contributing to real-world applications that drive business outcomes. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models Analyze large datasets to extract actionable insights Collaborate with data engineers and software developers to integrate models into production systems Optimize algorithms for performance, scalability, and accuracy Research and experiment with the latest advancements in AI and ML Conduct model testing, validation, and fine-tuning Document processes, models, and results for internal and client use Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field 2+ years of hands-on experience in AI/ML model development Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, or Keras Experience with data preprocessing, feature engineering, and model evaluation Knowledge of NLP, computer vision, or time series modeling Familiarity with tools like Jupyter, Git, Docker, and cloud platforms (AWS/GCP/Azure) Strong problem-solving and analytical skills Excellent communication and collaboration abilities Preferred Qualifications: Experience with deploying models using Flask, FastAPI, or similar frameworks Exposure to MLOps tools and practices Contributions to open-source AI/ML projects or participation in Kaggle competitions Show more Show less

Job Title : AI/ML & Data Science Roles - GenAI, ML, NLP Experts Locations : Chennai & Gurgaon/NCR Experience : 5 to 8 Years Open Positions : 9 Job Type : Full-Time | Hybrid / On-Site About The Role We are seeking skilled and motivated AI/ML professionals with a strong background in Data Science, Machine Learning, and Generative AI. The ideal candidates will have experience in designing, building, and deploying scalable AI/ML models and frameworks for solving real-world business problems across financial and enterprise domains. You will collaborate with cross-functional teams, including product, engineering, and strategy, to develop AI solutions that create measurable impact. Key Responsibilities (may vary slightly based on role level) : Design and develop advanced ML/GenAI models using Python, TensorFlow, PyTorch, or similar frameworks. Work on Generative AI models including LLMs, Transformers, prompt engineering, fine-tuning, and evaluation. Lead or contribute to end-to-end ML lifecycle : data collection, preprocessing, feature engineering, modeling, deployment, and monitoring. Apply NLP, computer vision, or time series modeling techniques based on project requirements. Develop reusable AI/ML frameworks, pipelines, and APIs. Collaborate with business stakeholders to identify opportunities for AI/ML intervention. Interpret model results, generate insights, and communicate findings to both technical and non-technical audiences. Ensure compliance with model governance, risk management, and ethical AI practices. Preferred Qualifications (All Roles) Bachelor's/Master's/PhD in Computer Science, Data Science, Engineering, Statistics, or related fields. 5 to 8 years of hands-on experience in ML/AI/Data Science. Proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with SQL and cloud platforms (AWS, Azure, or GCP). Strong understanding of ML algorithms, model evaluation metrics, and deployment strategies. Exposure to GenAI concepts including transformers, embeddings, LLM APIs (OpenAI, Cohere, Anthropic, etc.) Excellent problem-solving and communication skills. Strong publication record or innovative project portfolio in NLP, deep learning, or GenAI. (ref:hirist.tech) Show more Show less

As a Gen AI Engineer , you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities AI Model Development : Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. Prompt Engineering : Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. Cloud Expertise : Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. Data Management : Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. Model Evaluation & Tuning : Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. Innovation : Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. Collaboration : Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. Documentation : Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and : Education : Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Experience : Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. Technical Skills Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. Soft Skills Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies (ref:hirist.tech) Show more Show less

Role : Software Developer Experience : 2- 5 yrs Location : and Duties : Design and develop AI solutions using machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. Collaborate with Tech team, Product Manager and stakeholders to identify AI-driven opportunities. Build and deploy predictive models, recommendation engines, and generative AI applications. Optimize AI algorithms for scalability, performance, and accuracy. Integrate AI systems with existing software platforms and workflows. Research and stay updated on advancements in AI, machine learning frameworks, and tools. Prepare and maintain technical documentation for AI projects. Conduct rigorous validation (testing & review) of AI models to ensure reliability and compliance with business requirements. Collaborate with stakeholders to implement CI/CD pipelines for AI model deployment. Provide training and support to end-users and teams for AI-powered : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 2+ years of experience in developing and deploying AI/ML solutions with overall 4 years of experience in relevant areas. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and tools like TensorFlow, PyTorch, scikit-learn, or similar. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Knowledge of version control systems like Git. Certification in AI/ML technologies is a plus. Skills Strong analytical and problem-solving skills. Effective communication and teamwork capabilities. Proficiency in data visualization and interpretation tools. In-depth understanding of AI ethics and responsible AI principles. Ability to work in agile development environments. Attention to detail and adaptability to changing project requirements (ref:hirist.tech) Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less

Job Title : Machine Learning Engineer / Data Scientist (NLP & Gen AI) Location : Delhi, Mumbai, Hyderabad, Chennai Experience : 4+ years Employment Type : Full-time Job Description We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making. Key Responsibilities Develop and deploy ML models, focusing on NLP and Generative AI applications. Design and evaluate ML algorithms using appropriate evaluation metrics. Optimize data pipelines and perform data preprocessing using Pandas and other Python libraries. Implement and test Python-based ML applications with a focus on code quality and performance. Conduct model training, hyperparameter tuning, and performance benchmarking. Collaborate with cross-functional teams to integrate ML solutions into real-world applications. Stay updated with the latest AI/ML advancements and implement best practices. Required Skills NLP & Generative AI : Experience with transformers, LLMs, and language modeling techniques. Machine Learning Concepts : Strong understanding of algorithms and evaluation metrics. Python Development : Expertise in code testing, debugging, and optimization. Data Science & Pandas Operations : Ability to manipulate and analyze structured/unstructured data. ML Model Deployment : Experience with model serving, API development, or cloud platforms is a plus. Version Control & CI/CD : Familiarity with Git, Docker, and ML workflow automation. Preferred Qualifications Experience with Hugging Face, TensorFlow, PyTorch, or Scikit-learn. Knowledge of LLMs, embeddings, and fine-tuning pre-trained models. Understanding of MLOps and cloud-based ML solutions (AWS, GCP, Azure). Ability to write clean, maintainable, and efficient code. (ref:hirist.tech) Show more Show less

Job Description Key Responsibilities : Design, develop, and deploy machine learning models and AI-driven applications using Python. Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into AI solutions. Utilize AWS Bedrock and other AWS cloud services for model deployment, training, and orchestration. Manage data pipelines and ensure efficient data flow and storage, including preprocessing and feature engineering. Implement and maintain databases (SQL/NoSQL) used for storing structured and unstructured data. Optimize model performance and continuously monitor accuracy, efficiency, and scalability of deployed systems. Stay updated with the latest research, trends, and technologies in AI and machine learning. Document design processes, code, and research findings clearly and concisely. Contribute to code reviews, best practices, and technical mentorship within the Qualifications : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong proficiency in Python and common machine learning libraries (e.g., TensorFlow, PyTorch, Scikit learn, Hugging Face Transformers). Proven experience building, training, and deploying machine learning models in real-world applications. Hands-on experience with AWS, particularly AWS Bedrock, SageMaker, Lambda, S3, and related services. Proficient in database management, including SQL and NoSQL systems such as PostgreSQL, MySQL, MongoDB, or DynamoDB. Understanding of data structures, algorithms, and software engineering best practices. Experience with version control systems (e.g., Git) and CI/CD pipelines for machine learning projects. Excellent communication and collaboration skills. (ref:hirist.tech) Show more Show less

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Learning. Key Responsibilities Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle : data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58+ years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc.). Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech) Show more Show less

We’re Hiring: AI/ML Engineer – Vertical AI Agents & SaaS Solutions Location: Pune | Experience: 5+ Years of relevant experience Are you passionate about building cutting-edge GenAI solutions and deploying large language models (LLMs) in real-world applications? At Left Right Mind, we’re on the lookout for an innovative AI/ML Engineer to join our team! In this role, you will: Develop & deploy AI/ML models to solve real business problems Optimize large language models (LLMs) for domain-specific applications Implement end-to-end ML pipelines — data preprocessing, training, evaluation Work with structured & unstructured data to derive insights Collaborate with engineers to bring models into production Stay updated with the latest in GenAI, RAG, and LLM research Use modern tools like LangGraph, Autogen, TensorFlow, PyTorch, etc. Deploy on cloud platforms like AWS, Azure, or GCP using Docker/Kubernetes What we’re looking for: 4+ years of experience in AI/ML Strong Python programming and ML framework experience Hands-on with LLMs like OpenAI GPT, Gemini, Claude, etc. Familiar with NLP, feature engineering, and model optimization Strong problem-solving and teamwork skills At Left Right Mind, we believe in the freedom to explore, question, and innovate. We’re driven by purpose and powered by curiosity. To apply, fill out the form: https://lnkd.in/dtdBVTHE For queries, reach out to: varad.deshpande@leftrightmind.com Requirements Requirements: 5+ years of experience in AI/ML Strong Python programming and ML framework experience Hands-on with LLMs like OpenAI GPT, Gemini, Claude, etc. Familiar with NLP, feature engineering, and model optimization Strong problem-solving and teamwork skills Show more Show less

Job Title: AI & Machine Learning Developer Location: Surat, near Railway Station Experience: 1-2 Years Responsibilities Develop and optimise machine learning models for core product features. Collaborate with product and engineering teams to integrate AI solutions. Work with data pipelines, model training, and deployment workflows. Continuously improve models using feedback and new data. Requirements 1+ years of experience in ML or AI development. Strong Python skills; hands-on with libraries like scikit-learn, TensorFlow, or PyTorch. Experience in data preprocessing, model evaluation, and basic deployment. Familiarity with APIs and integrating ML into production (e.g., Flask/FastAPI) Skills:- Python Show more Show less

Must-Have Skills & Traits Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture, including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. AI/ML & GenAI Expertise Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Nice-to-Have Skills Experience in startup or fast-paced product environments. 2-5 years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Experience: 2 - 6 years of experience Salary : 5-11 LPA Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,100,000.00 per year Schedule: Day shift Work Location: In person

Job Title: Python Lead – AI/ML Location: Hyderabad Experience Required: 6+ years Notice Period: Immediate to 20 days Job Summary: We are seeking a highly skilled Python Lead with strong experience in AI/ML technologies to join our growing team. The ideal candidate will bring deep technical expertise, hands-on development experience, and a passion for building scalable, high-performance applications. This role is ideal for professionals who thrive in a fast-paced, innovation-driven environment. Key Responsibilities: Lead and contribute to the design, development, and deployment of Python-based applications. Drive end-to-end development of AI/ML models — from data preprocessing and model development to validation and deployment. Collaborate with data scientists, engineers, and cross-functional teams to deliver robust software solutions. Mentor junior developers and ensure best coding practices, design patterns, and performance optimization techniques. Stay current with latest advancements in Python and AI/ML to continuously improve system performance and capabilities. Required Skills & Qualifications: 6+ years of experience in software development with a strong focus on Python . Minimum 6 months of hands-on experience in AI/ML projects (e.g., model development, deployment, data pipelines). Proficient in AI/ML libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy etc. Experience with RESTful APIs, microservices, and cloud platforms (AWS, Azure, or GCP preferred). Solid understanding of software engineering principles, algorithms, and data structures. Excellent problem-solving skills and the ability to work independently and within a team. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. * If you're a passionate Python developer with a knack for AI/ML and looking to lead high-impact projects, we'd love to hear from you! To apply, please share your updated resume and notice period. Job Type: Full-time Pay: ₹2,200,000.00 - ₹3,200,000.00 per year Schedule: Day shift Experience: AI/ML: 1 year (Required) Python: 4 years (Required) Work Location: In person

Experience: 3 to 4 Years Y Location: Mumbai Openings: 1 Job description: We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Requirement: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Skills: Proven experience as a Data Scientist. Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Benefits: Work from home, flexible working hours Skills development and training opportunities, company-paid certifications Opportunities to advance career An open-minded and inclusive company culture Role: Data Scientist Department: Software Engineer Education: B.Tech

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Mandatory Skills Data Science, ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, PostgreSQL Preferred Skills Gen AI, LLM, RAG, Lanchain, Vector DB, Azure Cloud, MLOps, Banking exposure ͏ 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc ͏ Mandatory Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Strong Backend Python developer Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines. ͏ 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements 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: 8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Title: AI/ML Intern Company: ZENO TALENT Location: Remote Duration: 6 Months (3 Months Training + 3 Months Internship) Stipend: Up to ₹15,000 (Performance-based) Start Date: Immediate openings available About the Opportunity: At NEOZENO TALENT LLP , we are committed to shaping the future of artificial intelligence by nurturing aspiring talent. Our 6-month AI/ML Internship Program is a structured pathway designed to empower freshers and early professionals with practical experience, hands-on projects, and direct mentorship from industry experts. Program Highlights: 🔹 Phase 1: Training (3 Months) This training phase focuses on the core concepts and tools required to build intelligent systems: Python Programming for AI Machine Learning Algorithms (Supervised, Unsupervised, Ensemble) Neural Networks & Deep Learning (Basics) Tools: NumPy, Pandas, scikit-learn, TensorFlow, Keras Version Control with Git and GitHub Capstone mini-projects with regular evaluations 🔹 Phase 2: Internship (3 Months) Work on real-world AI/ML use cases under the guidance of experienced mentors. You'll contribute to live projects and develop end-to-end models — from data preprocessing to deployment. Interns during this phase are eligible for a performance-based stipend of up to ₹15,000 , based on project contribution and dedication. Roles & Responsibilities: Assist in building and optimizing machine learning models Perform data cleaning, preprocessing, and feature engineering Participate in brainstorming sessions and sprint planning Analyze model performance and suggest improvements Document code, models, and workflows for team use Stay up to date with recent trends in AI/ML Who Can Apply: B.Tech/B.Sc/M.Sc students or graduates in Computer Science, AI/ML, Data Science, or related fields Basic knowledge of Python and Machine Learning Candidates with project experience (even academic) are preferred Those looking to build a strong portfolio or transition into an AI/ML role Career gap candidates and freshers are welcome Certificates Provided: AI/ML Training Completion Certificate (3 months) Internship Completion Certificate (6 months) Capstone project reports and GitHub contributions Support & Value: To ensure personalized mentorship, project guidance, and a quality learning experience, a one-time learning and development fee of ₹8,500 is applicable during the training phase. This enables us to provide: Live sessions with experienced AI/ML professionals Hands-on project environments Continuous evaluations and personalized feedback Career readiness support Note: The fee is fully refundable if you choose to withdraw before the training begins . Once training has started, the fee becomes non-refundable. Why Join Us: Work on real-world AI/ML projects Receive guidance from professionals with 5+ years of experience Build your GitHub and project portfolio Get shortlisted for full-time roles based on performance Earn a stipend during internship phase Show more Show less

Python ML Engineer Experience : 3 to 4 years Location : Chennai Type : Full-time About the Role We are looking for a talented and motivated Machine Learning Engineer with strong experience in Natural Language Processing (NLP) and Python . The ideal candidate will have hands-on experience developing and deploying machine learning models, particularly focused on text data, and be comfortable working in a fast-paced, collaborative environment. Key Responsibilities Design, develop, and deploy NLP models for text classification, information extraction, summarization, and/or sentiment analysis. Preprocess and clean large text corpora using NLP tools and libraries. Implement and fine-tune machine learning models using libraries like scikit-learn , spaCy , Transformers , or TensorFlow/Keras . Work with OCR tools (e.g., Tesseract , EasyOCR ) if working with scanned documents/images. Collaborate with data scientists, backend engineers, and product managers to integrate ML models into production systems. Analyse model performance and continuously improve accuracy, precision, and recall. Write clean, maintainable, and testable Python code. Required Skills & Qualifications 2 to 3 years of hands-on experience in Machine Learning and NLP using Python. Strong grasp of text preprocessing , tokenization , POS tagging , NER , topic modelling , etc. Experience with spaCy , NLTK , Hugging Face Transformers , or similar NLP libraries. Experience building and tuning models for classification, clustering, or regression tasks. Knowledge of OCR technologies (e.g., Tesseract , OpenCV ) is a plus. Familiarity with version control systems (e.g., Git ) and agile development. Bachelor's degree in Computer Science, Data Science, AI, or a related field. 📩 Don’t miss out! Send your CV to Prerana.prakash@adept-view.com today! Show more Show less

This posting is for one of our International Clients. About the Role We’re creating a new certification: Inside Gemini: Gen AI Multimodal and Google Intelligence (Google DeepMind) . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement. Show more Show less

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

Our technology services client is seeking multiple Python Developer Python Flask Django SQL to join their team on a contract basis. These positions offer a strong potential for conversion to full-time employment upon completion of the initial contract period. Below are further details about the role: Job Title: Python Developer Python Flask Django SQL Location: Bangalore Mode of Interview: Webcam Interview Experience: 6-9 Years. Notice: Only 0-15 days. Job Description: We are looking for a Python Developer to design and build scalable automation solutions using Python Flask and Django You will work closely with various teams to streamline operational workflows develop internal tools and manage structured and unstructured data across SQL and NoSQL systems Key Responsibilities Develop automation scripts and internal tools using Python Experience with Flask and Django for building and deploying web applications in a security context including dashboards reporting tools and security management interfaces Design develop and maintain SQL databases eg MySQL PostgreSQL for data storage and analytics Create REST APIs for automation tool integration and backend services Support tasks related to data preprocessing analytics pipeline automation and model deployment Collaborate with stakeholders to identify automation opportunities and deliver custom solutions Required Skills: 5 years handson experience in Python scripting and automation Proficiency in Flask and Django web frameworks Experience with SQL and NoSQL database design and management Solid understanding of RESTful API development and integration Familiarity with data engineering concepts and automation tools Excellent problemsolving and software design skills If you are interested, share the updated resume to sathwik@s3staff.com Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description : Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, AI Artificial intelligence, Artificial Intelligence, Python, Pytorch. Roles and Responsibilities: Develop, fine-tune, and deploy AI/ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Design and implement data pipelines, perform feature engineering, and handle data preprocessing for training and inference. Integrate AI models into business applications and APIs, ensuring scalability and performance. Collaborate with MLOps teams to deploy solutions on cloud platforms like AWS, Azure, or Google Cloud using CI/CD pipelines, Docker, and Kubernetes. Conduct model evaluation, hyperparameter tuning, and implement strategies for continuous performance improvement. Apply AI techniques to solve real-world problems in domains such as NLP, computer vision, or reinforcement learning. Work closely with cross-functional teams including data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions. Communicate complex technical concepts and model behavior clearly to non-technical stakeholders. Experience Requirement: 3-5 years of experience in building and deploying AI/ML models into production environments. Experience in setting up and managing CI/CD pipelines for model deployment. Proven ability in optimizing underperforming models through data analysis, feature selection, and algorithm tuning. Demonstrated collaboration on cross-functional projects to embed AI in real-world business applications. Strong background in model lifecycle management and production-grade AI system development. Education: M.E., MCA, BCA, B.E., B.Tech. Show more Show less