The GlobalHealthX is a startup venture studio/innovation exchange working at the intersection of healthcare, life sciences and technology and is looking to hire a passionate R&D engineer who has prior hands on experience in building scalable E2E AI solutions. Some key requirements for the applicant are: Prior experience with neural networks and computer vision models Working experience with LLMs and associated tooling. Knowledge of LLM inference providers and associated integrations. Must possess strong system design acumen with a focus on engineering fundamentals. Should be able to design and build robust scalable systems. Should be able to translate problem statements into E2E design, development and delivery. An eagerness and appetite to keep on top of the developing AI space Hands on experience with technologies such as: Python, PyTorch, Langchain, Langraph, AutoGen, DSPy, Tracing and Eval tools. Inference backends such as Ollama, Llama.cpp, vLLM or others Integrations with inference providers such as OpenAI, Anthropic, VertexAI, DeepSeek etc. Training or fine tuning models using techniques such as LORA, SFT, DPO etc. Prototype building with Gradio, Streamlit. Database and schemas including vector databases: Great if any prior experience building use cases such as RAG, Graph RAG MLOps : Prompt management, deploying and maintaining AI models or workflows. Experience: 3-5 Years (At least 1 year working with GenAI based projects) Show more Show less

Job Title: Professional Data Science Trainer (Industry Expert - ML & AI) Location: Remote / Hybrid / Onsite (Flexible) Employment Type: Part-Time / Freelance / Guest Faculty Experience Required: 2+ years in Data Science (MNC experience preferred) About the Role: We are looking for a passionate and experienced Data Science Professional to join us as a Trainer & Mentor , guiding aspiring data scientists toward industry-readiness. As a working expert from an MNC, your practical insights and technical mastery in Advanced Machine Learning , Deep Learning , and AI will shape the next generation of talent. Stay up to date with the latest trends and technologies in data science and incorporate them into training programs This role is focused on career-based learning techniques where you’ll help students bridge the gap between academic concepts and real-world applications through structured guidance, live instruction, and project mentorship. Key Responsibilities: Conduct live, interactive sessions on: Advanced Machine Learning algorithms (Ensemble methods, Feature Engineering, Model Deployment) Deep Learning (CNNs, RNNs, Transformers, Computer Vision, NLP, etc.) Industry-standard tools (Python, TensorFlow, PyTorch, Scikit-learn, MLflow, etc.) Design and deliver career-focused learning paths aligned with real-world data science job roles. Assign, evaluate, and guide capstone projects that simulate real-life AI challenges. Assist students in developing industry-relevant portfolios to compete in the AI talent market. Provide mentorship , including interview guidance, resume reviews, and career roadmap planning. Stay current with industry trends and update curriculum accordingly. Requirements: Currently working as a Data Scientist / ML Engineer / AI Specialist in a reputed MNC. Minimum 2 years of hands-on experience in data science projects and tools. Strong expertise in ML/DL frameworks , cloud ML environments (AWS, GCP, Azure), and version control systems. Prior teaching/mentoring experience is a strong plus. Excellent communication skills and a passion for teaching. Ability to simplify complex concepts for students with varied backgrounds. Preferred Qualifications: Bachelor's in Computer Science, Data Science, AI/ML, or related fields. Contribution to open-source projects , published papers , or technical blogs . Certifications in AI/ML (e.g., AWS ML Specialty, TensorFlow Developer). Apply Now to help shape future AI talent with your real-world expertise. Job Types: Full-time, Part-time Benefits: Flexible schedule Schedule: Day shift Work Location: In person

Responsibilities We are seeking a highly skilled and motivated AI/ML Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and deep learning, with a proven ability to develop and deploy AI/ML solutions. This role requires a deep understanding of AI/ML concepts, excellent programming skills, and the ability to work collaboratively in a fast-paced environment. Qualifications Design, develop, and implement AI/ML models and solutions. Collaborate with cross-functional teams to identify and solve complex business problems using AI/ML techniques. Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Conduct experiments, analyze results, and iterate on models to improve performance. Stay up-to-date with the latest advancements in AI/ML, including new algorithms, techniques, and tools. Write clean, well-documented, and testable code. Deploy and monitor AI/ML models in production environments. Contribute to the development of AI/ML best practices and standards. Skills Minimum 3 years of experience in AI/ML development. Proficiency in Python and Go (Golang) programming languages. Programming Languages: Python, Go (Golang) Strong experience with machine Learning Frameworks: PyTorch, TensorFlow (optional), Keras (optional) Solid understanding of NLP concepts and techniques. Experience with data manipulation and analysis tools (e.g., Pandas, NumPy). Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Experience with machine learning algorithms (e.g., regression, classification, clustering, etc.). Version Control: Git Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Job Type: Full-time Pay: ₹300,000.00 - ₹700,000.00 per year Benefits: Paid sick time Paid time off Work from home Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9176760030

Become our next FutureStarter Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary! AI Research Scientist Country/Region: IN Location: Chennai, TN, IN, 600116 Req ID 79888 | GEC Chennai, India, ZF Commercial Vehicle Control Systems India Limited AI Research Scientist About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as AI Research Scientist (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team's long-term research goals and strategies. Your profile as AI Research Scientist (m/f/d): Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills. Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals. Why should you choose ZF Group in India? Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Be part of our ZF team as AI Research Scientist and apply now! Contact Sowmya Nagarathinam What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company? At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility. Find out how we work at ZF: Job Segment: Research Scientist, R&D, Computer Science, Scientist, Science, Research, Technology

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 : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working with various technologies such as deep learning, neural networks, chatbots, and image processing to create innovative applications that meet user needs and business objectives. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture. - Strong understanding of cloud computing principles and architecture. - Experience with AI and machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with data processing and storage solutions, including BigQuery and Cloud Storage. - Ability to design and implement scalable and secure cloud-based applications. Additional Information: - The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture. - This position is based in Chennai. - A 15 years full time education is required. 15 years full time education

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. Engineer features and performs exploratory data analysis to ensure data quality and model readiness. Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). Implement models into production environments, ensuring robustness, scalability, and maintainability. Develop and maintain CI/CD pipelines for seamless model integration and deployment. Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. Document model architecture, development processes, and performance evaluations thoroughly. Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. Analyze large datasets to extract insights and improve model performance. Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) About Athenahealth Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What’s unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together. Our Company Culture Might Be Our Best Feature. We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. 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We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Job Posting Title: AI Solution Engineer What does a AI Solution Engineer do? As an AI Solution Engineer at, you will be responsible for developing, deploying, and implementing advanced AI-enabled applications for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secure environment. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role. What will you do: Research and Innovation : Stay updated with the latest AI technologies, tools, and trends to continuously improve and innovate //'s data conversion processes. Documentation : Maintain comprehensive documentation of AI solutions, methodologies, and deployment processes. Design and Develop AI Models : Implement AI solutions focused on automating and enhancing the core data conversion processes. Data Handling : Work with large datasets, ensuring the integrity and security of sensitivity information during the conversion process. Secure Environment Compliance : Develop and deploy AI solutions in accordance with security protocols, ensuring all processes meet compliance standards. Collaboration : Work closely with cross-functional teams including data scientists, software engineers, and business analysts to create integrated AI solutions. Testing and Validation : Conduct rigorous testing and validation of AI models to ensure accuracy and reliability. Performance Optimization : Continuously monitor and optimize AI models for efficiency and performance improvements. Perform application scoring and data aggregation What you will need to have: Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#. Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem-Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the Financial Services Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: • Assist in designing, developing, and training machine learning models using structured and unstructured data • Collect, clean, and preprocess large datasets for model building • Perform exploratory data analysis and statistical modeling • Collaborate with senior data scientists and engineers to build scalable AI systems • Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics • Document models, processes, and experiment results clearly and consistently • Support in integrating AI/ML models into production environments • Stay updated with the latest trends and techniques in machine learning, deep learning, and AI • Participate in code reviews, sprint planning, and product discussions • Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: • Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) • Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy • Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras • Knowledge of data preprocessing, feature engineering, and model validation techniques • Understanding of probability, statistics, and linear algebra • Familiarity with tools like Jupyter, Git, and cloud-based notebooks • Problem-solving mindset and eagerness to learn • Good communication skills and the ability to work in a team • Internship/project experience in AI/ML is a plus Education: • B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field • Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design and bespoke development solutions. With over 15 years of expertise, we've partnered with Fortune 500 companies and global brands to drive innovation and deliver excellence. Join us to shape the future of intelligent technology and contribute to impactful, world-class AI solutions. Show more Show less

Kolkata,West Bengal,India Job ID 763067 Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Effling Kids is an early learning edtech platform focused on replacing traditional notebooks with interactive, AI-driven digital learning experiences. We're on a mission to make learning fun, effective, and sustainable for kids aged 3–7. Role: We are looking for passionate and curious freshers or interns eager to gain real-world experience in Artificial Intelligence and Machine Learning . You’ll get the unique opportunity to learn and contribute under the direct mentorship of AI Scientist Dr. Abdul . What you'll learn & do: Assist in training and evaluating AI/ML models Research child handwriting and drawing patterns Work on real-world datasets and labeling tasks Collaborate with the tech and product team Learn how AI is applied in early education apps Contribute ideas and improvements to the Effling AI system Requirements Strong interest in AI/ML or data science Basic understanding of Python, ML algorithms, or data processing Curious, self-driven, and eager to learn Excellent communication skills Final-year students or recent graduates are welcome Bonus if you have: Experience with TensorFlow, PyTorch, or OpenCV Worked on personal AI/ML projects Exposure to kids’ education or UX Duration: 3–6 months (with possibility of full-time offer based on performance) How to Apply Send your resume and any relevant project links to info.effling@gmail.com Show more Show less

Indore, Madhya Pradesh, India;Hyderabad, Telangana, India Qualification : Define and manage analytics strategy. Provides analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Oversees team data scientists, de-bottlenecking issues related to project execution. Work closely with business and product management teams to develop and implement analytics solutions. Collaborate with data engineers & architects to implement and deploy scalable solutions. Communicate results to diverse technical and non-technical audiences. Design accurate and scalable prediction algorithms Generate actionable insights for business improvements. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data. Storytelling, Business Communication, and Documentation Actively drive a culture of knowledge-building and sharing within the team Encourage continuous innovation and out-of-the-box thinking. Skills Required : R, Python, TensorFlow, PyTorch, Deep Learning Algorithms, Image/Video Analytics Role : R, Python, Scikit-Learn, TensorFlow, PyTorch Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Experience : 12 to 16 years Job Reference Number : 11688

Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Bangalore, Karnataka, India;Pune, Maharashtra, India Qualification : Hands-on experience working with SAS to Python conversions. Strong mathematics and statistics skills. Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data Storytelling, Business Communication, and Documentation Programming Skills – SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data Engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure, and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Skills Required : Python, SAS, Machine Learning Role : Responsilbe for SAS to python code conversion. Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills Develop and deploy cloud-based applications, including LLM/GenAI, into production. Experience : 7 to 10 years Job Reference Number : 13070

Job Summary: We are hiring a skilled Python Developer with expertise in ML, NLP, or computer vision. The ideal candidate should be proficient in Python and libraries like TensorFlow, PyTorch, and OpenCV, with experience in data handling, cloud platforms, and MLOps tools. Experience with LLMs or Generative AI is a plus. Required Skills: Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV. Strong understanding of ML algorithms, NLP, and/or computer vision. Experience with data manipulation and cleaning using Pandas, NumPy. Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker, MLflow). Understanding of AI model evaluation metrics and real-time inference. Preferred Qualifications: Bachelor’s or Master’s in Computer Science, AI, or related fields. Experience with large language models (LLMs), Transformers, or Generative AI. Knowledge of data privacy, security, and model fairness principles. Job Type: Full-time Location Type: In-person Schedule: Day shift Monday to Friday Experience: Python: 5 years (Required) AI/ML: 4 years (Required) Work Location: In person

Role - Computer Vision Engineer Experience - 2+ years Location - Indore (Onsite) Responsibilities: Lead development and implementation of ML models and algorithms for Computer Vision. Optimize deep learning models for tasks like object detection, image segmentation, and more. Preprocess data and develop efficient data pipelines for high-quality datasets. Integrate and enhance computer vision techniques and architectures for improved model performance. Collaborate with cross-functional teams and integrate solutions into applications. Qualifications: Bachelor's/Master's in Computer Science or related field. 2+ years of ML experience with a focus on Computer Vision. Proficiency in Python, TensorFlow, PyTorch, OpenCV. Strong understanding of computer vision algorithms and deep learning. Experience with image processing and cloud platforms is a plus. Job Type: Full-time Pay: Up to ₹1,000,000.00 per year Benefits: Internet reimbursement Schedule: Day shift Application Question(s): What is your current CTC ? What is your expected CTC ? Are you comfortable relocating to Indore, MP? Total experience using computer vision technology?

We’re hiring a Python Developer with a strong understanding of Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying scalable AI/ML solutions and Python-based backend applications. Note: Only Surat-Gujarat based candidate apply for this job. Role Expectations : Develop and maintain robust Python code for backend and AI/ML applications. Design and implement machine learning models for prediction, classification, recommendation, etc. Work on data preprocessing, feature engineering, model training, evaluation, and optimization. Collaborate with the frontend team, data scientists, and DevOps engineers to deploy ML models to production. Integrate AI/ML models into web or mobile applications. Write clean, efficient, and well-documented code. Stay updated with the latest trends and advancements in Python and ML. Soft skills : Problem-Solving Analytical Thinking Collaboration & Teamwork Time Management Attention to Detail Required Skills: Proficiency in Python and Python-based libraries (NumPy, Pandas, Scikit-learn, etc.). Hands-on experience with AI/ML model development and deployment. Familiarity with TensorFlow, Keras, or PyTorch. Strong knowledge of data structures, algorithms, and object-oriented programming. Experience with REST APIs and Flask/Django frameworks. Basic knowledge of data visualization tools like Matplotlib or Seaborn. Understanding of version control tools (Git/GitHub). Good to Have: Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of NLP, computer vision, or deep learning models. Experience working with large datasets and databases (SQL, MongoDB). Familiarity with containerization tools like Docker. Our Story : We’re chasing a world where tech doesn’t frustrate—it flows like a river carving its own path. Every line of code we hammer out is a brick in a future where tools don’t just function—they vanish into the background, so intuitive you barely notice them working their magic. We craft software and apps that tackle real problems head-on, not just pile up shiny features for the sake of a spec sheet. It starts with listening—really listening—to the headaches, the what-ifs, and the crazy ambitions others might shrug off. Then we build smart: solutions that cut through the clutter with surgical precision, designed to fit like a glove and run like a rocket. Unlock The Advantage : 5-Days a week 12 paid leave + public holidays Training and Development : Certifications Employee engagement activities: awards, community gathering Good Infrastructure & Onsite opportunity Flexible working culture Experience: 2-3 Years Job Type: Full Time (On-site) Show more Show less

Internship Overview Join us as an AI Developer Intern to gain hands-on experience in building and deploying computer-vision and LLM-based solutions. You’ll work alongside senior engineers to develop object detection/tracking models (LLM, YOLOv8/11), assist with face-recognition pipelines, and help maintain our GPU-powered servers. What You’ll Do Assist in data collection, annotation, and preprocessing for video datasets. Train and fine-tune YOLOv8/11 models under mentor guidance. Prototype face-recognition solutions using pre-trained LLM embeddings. Help deploy models on Linux servers; learn SSH, Docker, and GPU setup. Participate in code reviews, stand-ups, and technical brainstorming sessions. What We’re Looking For Currently pursuing a B.Tech/M. Tech in CS, EE, AI, or related field, or graduated Solid foundation in Python, with coursework or projects using PyTorch/TensorFlow. Basic understanding of computer-vision concepts (object detection, tracking, face recognition). Familiarity with the Linux command line and SSH. Eagerness to learn GPU computing and server management. Strong problem-solving skills and the ability to work in a team. What You’ll Gain Real-world experience deploying AI solutions end-to-end. Mentorship from senior AI engineers. Exposure to GPU infrastructure and MLOps practices. Opportunity to contribute to production-grade code. Letter of recommendation and potential for a full-time offer. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Preferred) Willingness to travel: 100% (Preferred) Work Location: In person

About The Role Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 7+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315680 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

Your day at NTT DATA Senior GenAI Data Engineer We are seeking an experienced Senior Data Engineer to join our team in delivering cutting-edge Generative AI (GenAI) solutions to clients. The successful candidate will be responsible for designing, developing, and deploying data pipelines and architectures that support the training, fine-tuning, and deployment of LLMs for various industries. This role requires strong technical expertise in data engineering, problem-solving skills, and the ability to work effectively with clients and internal teams. What you'll be doing Key Responsibilities: Design, develop, and manage data pipelines and architectures to support GenAI model training, fine-tuning, and deployment Data Ingestion and Integration: Develop data ingestion frameworks to collect data from various sources, transform, and integrate it into a unified data platform for GenAI model training and deployment. GenAI Model Integration: Collaborate with data scientists to integrate GenAI models into production-ready applications, ensuring seamless model deployment, monitoring, and maintenance. Cloud Infrastructure Management: Design, implement, and manage cloud-based data infrastructure (e.g., AWS, GCP, Azure) to support large-scale GenAI workloads, ensuring cost-effectiveness, security, and compliance. Write scalable, readable, and maintainable code using object-oriented programming concepts in languages like Python, and utilize libraries like Hugging Face Transformers, PyTorch, or TensorFlow Performance Optimization: Optimize data pipelines, GenAI model performance, and infrastructure for scalability, efficiency, and cost-effectiveness. Data Security and Compliance: Ensure data security, privacy, and compliance with regulatory requirements (e.g., GDPR, HIPAA) across data pipelines and GenAI applications. Client Collaboration: Collaborate with clients to understand their GenAI needs, design solutions, and deliver high-quality data engineering services. Innovation and R&D: Stay up to date with the latest GenAI trends, technologies, and innovations, applying research and development skills to improve data engineering services. Knowledge Sharing: Share knowledge, best practices, and expertise with team members, contributing to the growth and development of the team. Requirements: Bachelors degree in computer science, Engineering, or related fields (Master's recommended) Experience with vector databases (e.g., Pinecone, Weaviate, Faiss, Annoy) for efficient similarity search and storage of dense vectors in GenAI applications 5+ years of experience in data engineering, with a strong emphasis on cloud environments (AWS, GCP, Azure, or Cloud Native platforms) Proficiency in programming languages like SQL, Python, and PySpark Strong data architecture, data modeling, and data governance skills Experience with Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg), Data Warehouses (Teradata, Snowflake, BigQuery), and lakehouses (Delta Lake, Apache Hudi) Knowledge of DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) Experience with GenAI frameworks and tools (e.g., TensorFlow, PyTorch, Keras) Nice to have: Experience with containerization and orchestration tools like Docker and Kubernetes Integrate vector databases and implement similarity search techniques, with a focus on GraphRAG is a plus Familiarity with API gateway and service mesh architectures Experience with low latency/streaming, batch, and micro-batch processing Familiarity with Linux-based operating systems and REST APIs Location: Delhi or Bangalore Workplace type : Hybrid Working

About The Role Grade Level (for internal use): 10 The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists / ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML library’s and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements Proven track record as a senior / lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Master’s / PhD from a recognized institute in a relevant specialization Good To Have 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315679 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

Dear Candidate, We at TATA Technologies looking for an experienced candidate for Gen AI/ML Lead role for Pune location. Please check the below JD, if matches to your profiles please share your resume on sayali.yadav@tatatechnologies.com Job Title: Gen AI/ML Lead Total Experience: 6-8 Years Location: Pune Key Responsibilities: Design, develop, and deploy chatbots using NLP techniques to meet business needs in HR, Finance, and People Supply Chain. Implement in-context AI capabilities to enhance functionality in existing applications. Collaborate with the AI/ML Lead and cross-functional teams to gather requirements and deliver scalable AI solutions. Fine-tune AI/ML models for optimal performance and accuracy. Continuously research and implement state-of-the-art AI techniques and tools. Qualifications: Bachelor’s degree in computer science, Artificial Intelligence, Machine Learning, or related field. 6-8 years of experience in AI/ML development. Proficiency in programming languages such as Python, R, or Java, with experience in ML frameworks (TensorFlow, PyTorch). Hands-on experience with chatbot development and NLP techniques. Familiarity with cloud-based AI services (AWS, Azure, Google Cloud). Preferred Skills: Knowledge of HR, Finance, or supply chain processes. Understanding of Agentic AI principles. Strong debugging and optimization skills. Show more Show less

Job Responsibilities: Development of AI/ML models and workflow to apply advanced algorithms and machine learning Enable team to run an automated design engine Creates design standards and assurance processes for easily deployable and scalable models. Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage CI/CD Pipeline (Azure Devops/Git) integration as Code repository. Minimum Qualifications (Experience And Skills) 5+ years of Data science experience A strong software engineering background with emphasis on C/C++ or Python 1+ years of experience in AWS Sagemaker Services Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security Experience in debugging complex issues with a focus on object-oriented software design and development Experience with optimization techniques and algorithms Experience developing artificial neural networks and deep neural networks Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams Ability to communicate and document design work with clarity and completeness Previous experience working on machine learning projects. Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism Preferred Qualifications Programming Experience in Perl / Python / R / Matlab / Shell scripting Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing Knowledge of reinforcement learning techniques Knowledge of evolutionary algorithms AWS Certification Show more Show less

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end. Key Responsibilities Model Development & Optimization Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection. Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques. Optimize inference speed and accuracy for real-time video processing on GPUs. Video Analytics & Tracking Develop multi-camera object-tracking algorithms across disparate video sources. Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance. Infrastructure & Deployment Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN). Automate CI/CD pipelines for model training, evaluation, and deployment. Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability. Collaboration & Documentation Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs. Write clear technical documentation, API specs, and best-practice guides. Required Qualifications Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field. 2-3+ years hands-on experience with: YOLOv8 or YOLOv11 (training, inference, transfer learning) Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers) Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn Strong Linux skills: server provisioning, SSH, shell scripting. Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers) Experience deploying models in production (AWS/GCP/Azure or on-prem clusters). Preferred Qualifications Familiarity with video-streaming protocols (RTSP/WebRTC). Knowledge of microservices architecture and API gateways. Exposure to MLOps platforms (MLflow, Kubeflow). Strong debugging, profiling, and performance-tuning abilities. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Fixed shift Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 2 years (Preferred) Work Location: In person Speak with the employer +91 9830000000

Apply now: https://forms.office.com/r/7L6tShcdVf Job Summary: The Senior Manager – Technology will be responsible for overseeing the implementation of contact center solutions, developing and integrating Generative AI (GenAI) technologies, and writing code modules. The ideal candidate will have a strong background in Python and a proven track record in managing technology projects. Our ideal candidates should be familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. To build high-quality, innovative, and fully performing software that complies with coding standards and technical design. Required Skills: Proven experience in implementing contact center solutions. Experience in any one contact center application (Genesys, Five9, Cisco, Avaya, Aws Connect, Twilio etc) Strong troubleshooting skills. Applicant must be able to determine the causes of complex problems Strong proficiency in Python programming. Experience with Generative AI (GenAI) development and integration. Knowledge of TensorFlow, Keras, PyTorch, or Scikit-learn for developing machine learning models. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud Expertise in database design, technical documentation Excellent problem-solving and analytical skills. Strong leadership and team management abilities. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Roles and Responsibilities: Lead the implementation of contact center solutions, ensuring seamless integration and optimal performance. Develop and integrate Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Execute full software development life cycle (SDLC) Troubleshoot and resolve technical issues in a timely manner. Qualifications: Information Technology, or a related field. Minimum of 12+ years of experience in technology management or a similar role. Demonstrated experience in managing technology projects from inception to completion ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses. Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data. Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps. Advanced knowledge of statistics and machine learning algorithms. Proficiency in Python programming and familiarity with R. Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX. Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.). Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Expertise with Big Data technologies (e.g., PySpark). Background in knowledge graphs, graph databases, or GraphRAG architectures. Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience with package development and technical writing. Familiarity with tools like Jira, Confluence, and source control packages and methodology. Knowledge and interest in foreign languages and linguistics. Experience working on international, globe-spanning teams and with AWS. Past participation in a formal research setting. Experience as part of a software organization. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 7481 Reporting into : Tech Manager Role Type : Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less