Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ Years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Strong problem-solving skills and a passion for AI innovation and ethical development. Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. Excellent communication skills, with the ability to articulate solutions effectively. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 7+ Years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Strong problem-solving skills and a passion for AI innovation and ethical development. Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. Excellent communication skills, with the ability to articulate solutions effectively. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Job Description : AI/ML Specialist Overview We are looking for a highly skilled and experienced AI/ML to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less

Job Description We are looking for a Full Stack Developer with 3+ years of experience to join our dynamic team. The ideal candidate will have strong proficiency in Python and a solid understanding of the MERN stack (MongoDB, Express.js, React.js, Node.js). The role involves developing scalable web applications, working with cutting-edge technologies, and contributing to AI/ML projects. Responsibilities Design, develop, and maintain web applications using Python and MERN stack. Work on both front-end and back-end development, ensuring a seamless and efficient user experience. Build and integrate RESTful APIs and third-party services. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, efficient, and maintainable code. Manage and optimize databases (MongoDB, SQL, Postgres etc. Participate in code reviews, ensuring best practices and quality standards. Must Have Python: Strong experience with Python. MERN Stack: Proficiency in MongoDB, Express.js, React.js, and Node.js. Strong understanding of HTML, CSS, and JavaScript. Experience in building RESTful APIs and handling backend services. Git for version control and collaboration. Good To Have AI/ML Knowledge: Experience or familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms like AWS, Google Cloud, or Azure. Familiarity with Docker, Kubernetes, and DevOps processes. Why Join Us Work on innovative and impactful projects. Collaborate with a dynamic and creative team. Opportunities to expand your knowledge in AI/ML and cloud technologies (ref:hirist.tech) Show more Show less

Salary - 10 to 25 LPA Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Job Summary We are seeking a highly skilled and motivated Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI and machine learning models. The ideal candidate will have a strong background in algorithms, deep learning, data engineering, and software development, with a passion for solving real-world problems through AI. Key Responsibilities Design and develop scalable AI and machine learning models to solve complex business challenges. Lead end-to-end model development: data collection, preprocessing, training, validation, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, software developers, and product managers. Optimize existing AI models for performance and accuracy. Stay updated with the latest research and trends in AI/ML and evaluate their applicability to company products. Document processes, models, and code to ensure knowledge sharing and reproducibility. Mentor junior team members and contribute to a culture of innovation and Skills and Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Hands-on experience with NLP, computer vision, or deep learning applications. Strong problem-solving and analytical skills. Excellent communication and collaboration Qualifications : PhD in AI/ML-related field. Experience deploying models in production environments using CI/CD pipelines. Contributions to open-source AI/ML projects or publications in top-tier journals/conferences (ref:hirist.tech) Show more Show less

The Mission Pioneer breakthrough AI solutions at Fulcrum Digital, where we're not just building technology we're crafting tomorrow. As our Technical Lead, you'll be the architect of transformation, wielding cutting-edge AI to solve problems that matter. Why This Isn't Just Another Job Lead a team of brilliant minds : Push the boundaries of what's possible with a team of passionate AI enthusiasts. Shape impactful AI solutions : Work on projects that will impact millions and solve real-world challenges. Work with cutting-edge technology : Engage with technology so advanced it feels like science fiction. Be part of an elite team : Join a team that's defining the future of AI. Transform from a coder to a visionary : Architect and guide the development of groundbreaking AI solutions. What You'll Command Architect next-generation AI solutions : Design and develop innovative AI/ML systems that others only dream about. Guide a stellar team : Lead, mentor, and inspire a team of AI enthusiasts and future tech leaders. Craft scalable AI systems : Build AI systems that can scale beyond imagination and handle complex challenges. Pioneer ethical AI practices : Champion and implement ethical AI development standards within the team and organization. The Chosen One Will Have Battle-scars from 7+ years in the software wars : Proven experience in the software development lifecycle. 3+ years of bending AI/ML to your will : Deep practical experience in applying AI/ML techniques to solve real-world problems. Mastery over TensorFlow, PyTorch, and cloud realms : Extensive experience with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, GCP) for AI/ML deployments. A track record of turning impossible into reality : Demonstrated ability to successfully deliver complex and innovative AI/ML projects. Your Superpowers Should Include The ability to see patterns where others see chaos : Strong analytical and problem-solving skills with the ability to identify meaningful insights from data. The power to translate complex tech into human speech : Excellent communication and presentation skills to articulate complex technical concepts to both technical and non-technical audiences. A sixth sense for ethical AI development : A strong understanding of ethical considerations in AI and a commitment to building responsible AI systems. An insatiable hunger for learning and innovation : A proactive approach to staying updated with the latest advancements in AI/ML and a passion for exploring new technologies. Basic Requirements A degree in Computer Science or a related field (Masters preferred, but skills are paramount). Deep understanding of the AI/ML universe, including various algorithms, techniques, and their applications. The ability to lead, inspire, and transform ideas into reality through effective team leadership and project management. (ref:hirist.tech) Show more Show less

We are looking for a highly skilled Generative AI Developer : Responsibilities We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI/ML innovation team. The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems. You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered Responsibilities : Design and develop AI-powered applications using large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar. Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search). Build and integrate LLM-based APIs into products and systems. Optimize inference performance, latency, and throughput of LLMs for deployment at scale. Conduct prompt engineering and design strategies for prompt optimization and output consistency. Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias. Manage training data pipelines and ensure data privacy, compliance, and quality standards. Experiment with open-source LLM frameworks and contribute to internal libraries and tools. Collaborate with MLOps teams to automate deployment, CI/CD pipelines, and monitoring of LLM solutions. Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation Skills Required : LLMs & Transformers: Deep understanding of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Falcon). Model Training/Fine-Tuning: Hands-on experience with training/fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT. Prompt Engineering: Expertise in designing, testing, and refining prompts for specific tasks and outcomes. Python: Strong proficiency in Python with experience in ML and NLP libraries. Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks. MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management. Data Handling: Experience with data pipelines, preprocessing, and working with structured and unstructured Desirable Skills : Deployment: Knowledge of deploying LLMs on cloud platforms like AWS, GCP, Azure, or edge devices. Vector Databases: Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications. LLM APIs: Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc. Containerization: Docker, Kubernetes, and cloud-native services for scalable model deployment. Security & Ethics: Understanding of LLM security, hallucination handling, and responsible AI : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2-4 years of experience in ML/NLP roles with at least 12 years specifically focused on generative AI and LLMs. Prior experience working in a research or product-driven AI team is a plus. Strong communication skills to explain technical concepts and findings Skills : Analytical thinker with a passion for solving complex problems. Team player who thrives in cross-functional settings. Self-driven, curious, and always eager to learn the latest advancements in AI. Ability to work independently and deliver high-quality solutions under tight deadlines. (ref:hirist.tech) Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Experience with cloud-based AI services and deployment strategies. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 15 years of experience in Large Language Models. - This position is based at our Gurugram office. - A 15 years full time education is required. 15 years full time education Show more Show less

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Description And Requirements CareerArc Code CA-SW Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Responsibilities We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. To ensure you’re set up for success, you will bring the following skillset & experience: 7+ years of experience in designing and implementing AI/ML-driven applications Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,542,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

We are seeking a highly skilled MLOps Engineer with experience in Healthcare domain to join our team. The Engineer will be responsible for ensuring the accuracy, performance, and stability of ML models. This role includes continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes. Key Responsibilities Model Accuracy & Performance : Perform in-depth analysis of model accuracy. Identify and diagnose issues affecting model accuracy. Collaborate with data scientists to address and rectify model shortcomings. Regularly compare model performance against previous results to identify trends and improvement & Infrastructure Maintenance: Design and implement cloud solutions for MLOps (AWS, Azure, or GCP). Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Circle CI, Airflow, or similar tools. Maintain production pipelines and Docker images with the latest model code. Ensure stability and alignment between development and production environments. Model Deployment & Monitoring Manage containerization, deployment, versioning, and monitoring of ML models. Implement automated testing, validation, and quality checks for data science models. Troubleshoot and resolve bugs related to model deployment and data synchronization. Data Synchronization & Reporting Maintain consistent data synchronization across systems. Export and format monthly results for reporting and analysis. Upload and process monthly CSV data into databases. Implement and improve event logic for data insights. Stakeholder Collaboration Provide insights and explanations for model predictions to stakeholders. Collaborate with affiliate teams to address their needs related to predictions and model outputs. Conduct deep-dive analyses on model performance, including feature importance and model : 4+ years of experience as MLOps Engineer. Minimum 2 years experience supporting Healthcare business as MLOps Engineer. Proven experience in designing and implementing cloud-based MLOps solutions (AWS, Azure, GCP). Proficiency in CI/CD pipeline orchestration tools (GitLab CI, GitHub Actions, Circle CI, Airflow). Strong programming skills in Python, Go, Ruby, or Bash. Solid understanding of Linux environments. Hands-on experience with machine learning frameworks (scikit-learn, Keras, PyTorch, TensorFlow). Familiarity with Agile project delivery processes. Strong analytical and problem-solving skills with a quality control mindset. Excellent written and verbal communication skills for effective team coordination. Consulting experience with creativity, critical thinking, project planning, and attention to detail. Knowledge of the US/Europe pharmaceutical market and experience with pharmaceutical data is a plus. Number of Positions : 2. Job Type : Full-Time. Experience Required : 4+ Years (Mandatory: Healthcare Domain experience of 2 years). Location : Gurgaon. Work Mode : Onsite. Shift : UK Shift. (ref:hirist.tech) Show more Show less

About Markovate At Markovate, we dont just follow trendswe drive them. We transform businesses through innovative AI and digital solutions that turn vision into reality. Our team harnesses breakthrough technologies to craft bespoke strategies that align seamlessly with our clients' ambitions. From AI consulting and Gen AI development to pioneering AI agents and agentic AI, we empower our partners to lead their industries with forward-thinking precision and unmatched expertise. Job Summary. AI Solution Architect will lead the design and implementation of AI-powered solutions for clients, ensuring that they align with business goals and provide scalable, high-performance results. Responsibilities AI Solution Architect will work closely with clients, development teams, and stakeholders to design and deploy cutting-edge AI solutions in various domains, including machine learning, natural language processing and computer Responsibilities : Understand the values and vision of the organization. Protect the Intellectual Property. Adhere to all the policies and procedures. Lead the design, development, and implementation of AI-powered solutions, ensuring alignment with client requirements and business objectives. Lead the AI solution lifecycle, from concept to deployment, ensuring that milestones and deadlines are met. Collaborate with clients, product managers, and technical teams to understand business challenges and translate them into AI-driven solutions. Design end-to-end AI architectures, including data pipelines, model selection, deployment strategies, and performance monitoring. Oversee the integration of AI models into production environments, ensuring that they deliver consistent, high-quality results. Guide the adoption of best practices in AI, machine learning, and data science, ensuring that solutions are scalable, efficient, and cost-effective. Evaluate and select appropriate AI tools, frameworks, and technologies for specific project requirements. Provide technical leadership and mentorship to junior AI engineers and data scientists. Ensure that AI models are tested thoroughly, validated, and optimized for performance, accuracy, and scalability. Work closely with cross-functional teams, including data engineers, business analysts, and UX/UI designers, to deliver end-to-end AI solutions. Stay current with the latest advancements in AI technologies and contribute to the ongoing development of AI solutions and frameworks within the organization. Communicate the technical aspects of AI solutions clearly to both technical and non-technical Required Skills : Expertise in designing AI architectures and solutions for complex business problems. Deep understanding of machine learning, deep learning, NLP, and computer vision algorithms and their application to real-world problems. Strong experience in working with data pipelines, data storage, and processing technologies. Ability to lead and guide a team of AI engineers and data scientists to build scalable AI solutions. Experience with performance optimization, model evaluation, and continuous improvement of AI systems. Extensive experience with AI frameworks and tools such as TensorFlow, PyTorch, Keras, Scikitlearn and others. Demonstrate excellent Leadership abilities in managing, mentoring and guiding team. Excellent communication and presentation skills, with the ability to explain complex AI concepts to non-technical stakeholders. Collaborative approach to effectively present and advocate for quick design solutions. Ability to work effectively with cross-functional teams and deliver results in a collaborative environment. Stay updated on the latest design trends, tools, and technologies, bringing innovative ideas to enhance the product experience. A proactive approach to problem solving, with a focus on delivering exceptional customer satisfaction with ability to navigate complex technical challenges and design innovative Skills : Excellent understanding of AI concepts, including supervised and unsupervised learning, reinforcement learning, model training, evaluation, and optimization. Experience with Big Data technologies such as Hadoop, Spark, and Kafka, and working with large datasets. Strong programming skills in Python, Java, or similar languages, with hands-on experience in machine learning libraries. Proficiency in cloud-based AI deployment and orchestration tools. Ability to stay ahead of industry trends and continuously evaluate new tools, frameworks, and techniques. Strong knowledge of cloud platforms such as AWS, Azure, and Google Cloud, with expertise in deploying AI models at scale. Familiarity with DevOps practices for AI, including continuous integration and deployment pipelines for machine learning : Demonstrate proactive thinking. Should have strong interpersonal relations, expert business acumen and mentoring skills. Strong problem-solving skills with attention to detail. Have the ability to work under stringent deadlines and demanding client Relevant Information : Bachelors degree in Computer Science, Information Technology, or a related field. Over 10+ years of experience in software development, with at least 8 years in AI/ML solution architecture and design. Proven experience in designing and implementing AI solutions in production environments, including machine learning, NLP, computer vision, and deep learning. This role offers the flexibility of working remotely in India. (ref:hirist.tech) Show more Show less

Job Description We are seeking an AI Solution Architect to lead the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. This role requires deep expertise in AI/ML, solution architecture, and cloud deployment while collaborating with clients, developers, and stakeholders to drive AI innovation. Required Skills 12+ years in software development, with 8+ years in AI/ML solution architecture. Expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment at scale. Experience with data pipelines, big data technologies (Hadoop, Spark, Kafka), and cloud orchestration tools. Strong programming skills in Python, with hands-on experience in ML model training, evaluation, and optimization. Familiarity with DevOps for AI (CI/CD pipelines, MLOps best practices). Strong leadership, communication, and problem-solving skills, with a proactive and collaborative mindset. Key Responsibilities Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges. Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency. Design end-to-end AI architectures, including data pipelines, model selection, deployment, and monitoring strategies. Integrate AI models into production environments, optimizing for performance, accuracy, and business impact. Evaluate and recommend AI tools, frameworks, and technologies for various projects. Mentor and guide AI engineers and data scientists, fostering best practices in AI development. Collaborate with cross-functional teams (data engineers, business analysts, UI/UX designers) to deliver AI-driven products. Ensure compliance with AI ethics, security, and governance while staying updated with the latest AI advancements. Communicate technical solutions effectively to both technical and non-technical stakeholders. Preferred Qualifications Experience with supervised/unsupervised learning, reinforcement learning, and deep learning. Understanding of international AI compliance, security, and governance standards. Ability to navigate complex technical challenges and drive AI innovation in real-world applications. Bachelor's/Master's degree in Computer Science, AI, or related fields. (ref:hirist.tech) Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia Has Over $180 Billion In Assets Under Administration, Serves 100+ Carrier Clients, 2500 Distributors And Partners, And Over 2 Million You Are We are looking for a passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience to join our team. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, wed love to hear from you. What Youll Do Lead the design, development, and deployment of Gen AI and machine learning solutions using Python. Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization. Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives. Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization. Perform code reviews, write technical documentation, and maintain high standards of software quality. Stay up to date with the latest trends and advancements in AI, machine learning, and Python development. Identify and mitigate technical risks in projects while ensuring timely delivery. Foster a collaborative environment and promote knowledge sharing across the engineering team. What Youll Need 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role. Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn,or Keras. Python : Strong hands-on experience. Machine Learning : Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI : Experience working with LLMs or similar GenAI technologies. API Development : RESTful APIs and integration of ML models into production services. Databases : Experience with SQL and NoSQL databases (e., PostgreSQL, MongoDB, etc. Good To Have Skills Cloud Platforms : Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript : Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e., MLflow, Kubeflow, etc. Exposure to containerization (Docker) and orchestration IN IT FOR YOU ? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. (ref:hirist.tech) Show more Show less

About The Job WANTED: ASPIRING AI INNOVATOR & TECHNICAL ENTHUSIAST Kickstart your AI journey! Send your resume to [email address removed] with "Application for Junior AI/ML Engineer" as the subject line. This role follows a hybrid work model, requiring employees to work from the office twice a week. Candidates can choose to join any of our office locationsPune, Mumbai, or Coimbatorebased on their preference and convenience. Ready to contribute to the AI revolution and learn from the best? This is your opportunity to be part of a dynamic team shaping the future of technology. The Mission Contribute to the development of cutting-edge AI solutions at Fulcrum Digital. As a Junior AI/ML Engineer, you will work alongside experienced professionals to build and implement innovative AI models and applications that solve real-world problems. Why This Is More Than Just an Entry-Level Role : Gain hands-on experience in developing and deploying AI/ML models. Collaborate with a team of passionate and experienced AI professionals. Work on impactful projects that contribute to the future of technology. Learn and grow in a dynamic and innovative environment. Transform your passion for AI into practical skills and expertise. What You'll Do Assist in the development and implementation of AI/ML models and algorithms. Contribute to the data preprocessing, cleaning, and feature engineering processes. Support the evaluation and optimization of AI/ML models. Collaborate with senior team members on research and development initiatives. Assist in the deployment and monitoring of AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML. The Ideal Candidate Will Have A foundational understanding of machine learning concepts and algorithms. Familiarity with programming languages such as Python. Exposure to relevant libraries and frameworks like TensorFlow or PyTorch (preferred). Basic understanding of data manipulation and analysis using libraries like Pandas and NumPy. A strong analytical and problem-solving aptitude. A proactive and eager-to-learn attitude. Your Developing Superpowers Should Include The ability to identify patterns and insights from data (with guidance). The capacity to understand and explain technical concepts clearly (with support). An interest in ethical considerations in AI development. A strong desire for continuous learning and growth in the field of AI. Basic Requirements A Bachelor's degree in Computer Science, Data Science, or a related field. A basic understanding of the AI/ML landscape. Strong communication and teamwork skills. A passion for artificial intelligence and machine learning. The Perks Of Starting Your Legend Work on exciting and challenging AI projects. Learn from and be mentored by experienced AI professionals. Contribute to the development of innovative technological solutions. Be part of a collaborative and supportive team environment. Gain invaluable experience in a rapidly evolving field (ref:hirist.tech) Show more Show less

Role : AI/ML Engineer Exp : 4-7 Years Location : Nagpur/remote Job Description We are looking for a talented and experienced AI/ML Engineer to join our growing data science team. The ideal candidate will have strong expertise in machine learning, deep learning, and model deployment, with a passion for solving complex real-world problems using AI. Role & Responsibilities Design, develop, and deploy machine learning and deep learning models for various use cases Collaborate with cross-functional teams to gather requirements and identify AI-driven solutions Perform data preprocessing, feature engineering, and data visualization Evaluate model performance using appropriate metrics and improve as needed Optimize and scale models for performance, accuracy, and real-time inference Deploy ML models into production environments using CI/CD pipelines and MLOps best practices Document model architecture, data flow, and performance reports Stay up-to-date with the latest advancements in AI, ML, and related technologies Strong experience with Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch Proficiency in data analysis, feature engineering, and model selection techniques Hands-on experience with deep learning architectures: CNNs, RNNs, Transformers, etc. Experience with NLP, computer vision, or time-series forecasting is a plus Familiarity with ML pipelines, model versioning, and MLOps tools (MLflow, Kubeflow, etc.) Strong understanding of data structures, algorithms, and statistical methods Experience with cloud platforms like AWS, Azure, or GCP for model training and deployment Proficiency with SQL and NoSQL databases for data retrieval and storage (ref:hirist.tech) Show more Show less

Job Summary We are seeking a skilled and innovative Data Scientist with over 4+ years of experience to join our client's team. The ideal candidate will have a strong background in AI and Generative AI, with proficiency in Python and its relevant libraries. In this role, you will develop and implement cutting-edge machine learning models, analyse complex datasets, and collaborate with cross-functional teams to deliver data-driven solutions. Your expertise will contribute to our mission of leveraging advanced AI technologies to drive meaningful insights and advancements. Job Responsibilities Develop and implement machine learning models and algorithms, particularly in the areas of AI and Generative AI. Analyze large, complex datasets to extract actionable insights and identify trends. Monitor model performance and conduct ongoing optimization and tuning. Evaluate and deploy AI solutions, ensuring robustness, scalability, and performance. Utilize Python and other relevant tools to manipulate data and build predictive models. Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations. Stay updated with the latest advancements in AI and Generative AI and incorporate them into projects. Candidate Profile Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proven experience (4+ years) in data science, machine learning, and AI, with a focus on Generative AI. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to present complex information clearly and concisely. Candidate Required Skills Strong proficiency in Python programming and its libraries, such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. Experience with deep learning frameworks and neural networks. Solid understanding of machine learning algorithms and statistical methods. Ability to work with large datasets and perform data preprocessing, cleaning, and transformation. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with natural language processing (NLP) and computer vision techniques. (ref:hirist.tech) Show more Show less

Job Description Location : Remote | Experience : 5 Years | Role Type : Full-Time. About The Opportunity Are you passionate about building cutting-edge AI solutions that push the boundaries of technology? We're looking for a Senior AI/ML Engineer to lead groundbreaking projects in Generative AI, Computer Vision, NLP, Large Language Models (LLMs), and Deep Learning. This is your chance to work with a dynamic, forward-thinking team, drive innovation, and develop scalable AI-powered full-stack applications that solve real-world problems. If you're ready to take ownership of high-impact projects while mentoring a growing AI team, we want you on board. What You'll Do Lead AI/ML Solutions : Design, develop, and deploy innovative AI/ML systems to solve complex challenges across various industries. Build Scalable Applications : Develop and maintain full-stack applications that seamlessly integrate AI-driven capabilities. Innovate with Research : Stay ahead of the curve by conducting research and developing AI algorithms using Generative AI, Computer Vision, NLP, LLMs, ,Deep Learning & Software Architecture. Mentor and Lead : Guide junior engineers, foster a collaborative environment and share knowledge within the team. Collaborate Across Teams : Partner with product managers, data scientists, and engineers to create scalable, high-performing AI products. Solve Complex Problems : Troubleshoot AI/ML challenges and ensure reliable, high-quality deployments. Shape AI Strategy : Drive innovation by integrating the latest AI tools, frameworks, and methodologies. What You Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 5 years of professional experience delivering impactful AI/ML solutions. Proficiency in Python with hands-on experience in TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Expertise in full-stack development using front-end frameworks (React, Angular, or Vue.js) and back-end technologies (Node.js, Django, or Flask). Solid understanding of Generative AI, Computer Vision, NLP, LLMs, and architectures like CNNs, RNNs, and Transformers. Proficiency in managing SQL and NoSQL databases (MySQL, MongoDB). Strong problem-solving skills and the ability to translate business challenges into scalable AI solutions. Bonus Points If You Have Experience with cloud platforms like AWS, Azure, or GCP for deploying AI solutions. Knowledge of MLOps practices for managing large-scale AI/ML deployments. Expertise in CI/CD pipelines and DevOps for seamless full-stack deployments. Contributions to AI research, publications, or open-source projects. Why Join Us Work on cutting-edge AI/ML technologies that shape the future of innovation. Lead high-impact projects from conception to deployment. Be part of a collaborative, fast-paced environment where your contributions matter. Remote work flexibility with opportunities for continuous learning and professional growth. (ref:hirist.tech) Show more Show less

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications. Collaborate with product development teams and communicate with Senior Leadership teams. Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions. Requirements Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, namedentity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Deep Learning (DL), Algorithms, Computer Science & Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence (AI), ERP Systems, Product Management, Automation, Analytical Models, Predictive Models, Natural Language Processing (NLP), Gen AI, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Algebra, Data Science, Programming Languages: Python, Julia (ref:hirist.tech) Show more Show less

Job Title : Data Scientist- Lead Location : Bangalore, Pune, Mumbai, Kolkata Experience : 5 to 14 Years About Prismforce Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide. Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP What Makes Us Unique First-Mover Advantage : We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry. Innovative Product Suite : Our solutions offer forward-thinking features that outshine traditional ERP systems. Strategic Expertise : Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights. Experienced Leadership : Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber. Diverse and Growing Team : We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata. Strong Financial Backing : Series A-funded by Sequoia, with global IT companies using our product as a core solution. Why Join Prismforce Competitive Compensation : We offer an attractive salary and benefits package that rewards your contributions. Innovative Projects : Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain. Collaborative Environment : Thrive in a dynamic, inclusive culture that values teamwork and innovation. Growth Opportunities : Continuous learning and development are core to our philosophy, helping you advance your career. Flexible Work : Enjoy flexible work arrangements that balance your work-life needs. By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management. Perks & Benefits Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development Insurance Coverage-Group Mediclaim cover for self, spouse, kids and parents & Group Term Life Insurance Policy for self. Flexible Policies Retiral Benefits Hybrid Work Model Self-driven career progression tool Attractive ESOPs (ref:hirist.tech) Show more Show less

Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies. Key Responsibilities Assist in the development, training, and evaluation of machine learning and deep learning models. Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases. Work with datasets: collection, preprocessing, augmentation, and analysis. Participate in model optimization, deployment (e.g., via APIs), and performance monitoring. Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. Required Skills Strong understanding of machine learning, deep learning, and generative AI concepts. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Exposure to NLP techniques and transformer models (e.g., GPT, BERT). Basic understanding of model training, evaluation metrics, and deployment pipelines. Knowledge of data preprocessing, cleaning, and visualization techniques. Strong hands-on experience in working with SQL databases. Good To Have Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.). Familiarity with LangChain, LlamaIndex, or other LLM frameworks. Experience working with Hugging Face, OpenAI, or similar APIs. Understanding of prompt engineering and fine-tuning strategies. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC). Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects. Qualification Education : B.Tech M.Tech or MCA 1-2 years of professional or academic project experience in AI/ML. Preferably should have done some certification / courses / Formal training Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc. Experience in building end-to-end ML and/or AI and/or Generative AI projects. Excellent Communication skills oral and written Should have the mindset to work in a startup culture. (ref:hirist.tech) Show more Show less

About Us Job Description - Data Scientist - NoBroker.com NoBroker.com is the world's largest brokerage-free real estate marketplace, dedicated to transforming the real estate experience with cutting-edge products. Founded by IIT Bombay, IIT Kanpur, and IIM Ahmedabad alumni in 2014, we've raised $366M from prominent investors like General Atlantic, Tiger Global, and Saif Partners. Our comprehensive real estate ecosystem includes NoBrokerHood for community management, NoBroker HomeServices for property management, and a range of services like Legal Services, Rental Agreements, Packers & Movers, HomeLoans, Rent Payments, and more. Role As a Data Scientist at NoBroker.com, you will play a crucial role in advancing ConvoZen.AI. You'll work with a dedicated team to develop and enhance our conversational AI capabilities, applying NLP, LLMs, and other machine learning techniques to create impactful solutions. This role offers the opportunity to work with modern tools and technologies. Key Responsibilities Develop Conversational AI Models : Build and refine NLP and LLM models to enhance ConvoZen.AI's ability to derive insights from customer conversations using modern frameworks. Fine-Tuning LLMs : Engage in fine-tuning large language models (LLMs) to improve their performance on specific tasks, leveraging techniques like transfer learning and domain adaptation. Deploy and Monitor Models : Implement and maintain NLP models in production environments, ensuring they perform reliably and efficiently. Utilize deployment tools and best practices to streamline this process. Collaborate with Data Science & ML Team : Work closely with the team to tackle large-scale data problems and ensure solutions are production-ready. End-to-End AI System Development : Engage in the full development cycle of AI systems, from ETL processes to production deployment, with a focus on conversational AI. Consumer and Enterprise Applications : Develop applications for speech and language models that serve both consumer and enterprise needs, leveraging ConvoZen.AI. Model Maintenance and Enhancement : Participate in the validation, monitoring, and maintenance of existing ML models and heuristic algorithms in production. ML Lifecycle Management : Oversee the ML lifecycle from experimentation and analysis to modeling and productionizing relevant workloads. Project Planning and Execution : Plan, develop, and execute team projects focused on both research and development, with an emphasis on conversational AI. Infrastructure Development : Enhance our ML infrastructure, ensuring robust support for training and inference stages. Automation and Smart Solutions : Partner with multiple teams to develop automation engines and smart solutions, enhancing efficiency and effectiveness in sales and : Engineering background with strong mathematical and programming skills in C++ and Python. Minimum of 2 years of relevant experience in data science or machine learning. Proven track record in Analytics, Machine Learning, and Computer Sciences. Experience in building and deploying large-scale ML models, particularly in NLP, ASR & Computer Vision. Deep understanding and passion for NLP, LLMs, and conversational AI technologies. Proficiency in Python, databases, and Linux environments. Expertise in modern ML frameworks and tools like PyTorch, vLLM, TensorFlow, and Scikit-Learn. Strong analytical and quantitative skills, with the ability to communicate results effectively across teams. Ability to thrive in a fast-paced, deadline-driven environment. (ref:hirist.tech) Show more Show less

Job Description We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions. Responsibilities Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications Experience with Reinforcement Learning and Recommender Systems personalization techniques. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less