31 Hyperparameter Tuning Jobs

Were Hiring: Machine Learning Engineer | Contract Role | India (Remote) Location: India (Remote open to candidates across India) Type: Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities - 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc.Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services. Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios. Nice to Have - Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote.

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning models, not just utilizing APIs or pre-built models. - Proficiency in machine learning frameworks like TensorFlow, PyTorch, Keras, or similar. - Strong programming skills in Python, including experience with libraries such as NumPy, pandas, scikit-learn, and others. - Experience in training and fine-tuning machine learning models using authentic datasets. - Knowledge of machine learning algorithms, model evaluation, and feature engineering. - Hands-on experience in data preprocessing, model optimization, and hyperparameter tuning. - Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is advantageous. Responsibilities: - Design, create, and deploy customized machine learning models tailored to specific business challenges. - Train, optimize, and validate machine learning models using real-world data sets and advanced methodologies. - Collaborate with interdisciplinary teams to comprehend requirements and provide AI-driven solutions. - Establish and manage end-to-end machine learning pipelines from data preprocessing to model deployment. - Continuously enhance the performance, scalability, and reliability of AI models in production settings. - Conduct model evaluations and determine the most efficient models for practical applications. - Ensure thorough documentation of model development processes and outcomes. - Stay updated on industry trends, algorithms, and emerging technologies in the realm of machine learning and AI.,

DESCRIPTION As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML and Gen AI/LLM solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. You are expected to be an Expert in classical ML, generative AI, prompt engineering, and deployment optimization. Capable of building scalable and production-ready AI systems. Provide mentorship and guidance to junior members in the team. Engage in cross-functional collaboration and drive measurable business impact Key job responsibilities . Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements . Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap . Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry . Coordinate design efforts between Sciences and Software teams to deliver optimized solutions . Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. . . Lead the design and deployment of hybrid ML/LLM systems (e.g., RAG pipelines, fine-tuned models) . Conduct thorough ML experimentation and make ML model and architecture design choices. . Conduct hyperparameter tuning, prompt optimization, and performance monitoring at scale . Work on ML Ops to implement reproducible pipelines and experiment tracking . Translate ambiguous business problems into AI/ML solutions . Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. BASIC QUALIFICATIONS - . Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - . 3+ years of relevant work experience in solving real world business problems using AI/ML or applying GenAI and LLMs through prompt engineering techniques. - . Strong hands-on programming skills in Python, SQL. - . Strong analytical thinking - . Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - . Ability to collaborate effectively across multiple tech and business teams. PREFERRED QUALIFICATIONS - . Master's degree with specialization in ML, NLP or Computer Vision preferred - . Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in AI/ML and GenAI Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As a part of Arrk Group India, a technology company with over 23 years of industry experience specializing in developing scalable platforms to meet customer needs, we are currently looking to hire an AI Data Analyst at the Tech Lead Level. The ideal candidate should have a minimum of 8 years of professional experience, including leadership in tech projects. Location: Mahape, Navi Mumbai (Hybrid Work from Office) Role Overview: As an experienced AI Data Analyst, you will be working on cutting-edge AI solutions, focusing on areas such as Python, Machine Learning, AI APIs, and Large Language Models (LLMs). Your responsibilities will include performing data exploration, profiling, and cleaning of large datasets, designing, building, and evaluating ML and AI models, and leveraging LLM APIs, foundation models, and vector databases to deliver AI-driven insights. Additionally, you will collaborate with cross-functional teams to scale AI solutions. Experience Must Include: - 2+ years of hands-on experience as a Data Analyst - 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) - 2+ years of experience working with Machine Learning models/solutions - 5+ years of hands-on Python programming - Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities: - Perform data exploration, profiling, and cleaning of large datasets - Design, build, and evaluate ML and AI models to solve real-world problems - Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights - Build end-to-end ML pipelines from preprocessing to deployment - Create dashboards and visualizations for reporting and analysis - Analyze model outputs and provide actionable insights to stakeholders - Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills: - Data Analysis, Experience with real-world datasets, EDA, and data wrangling - Visualization using Pandas, Seaborn, Plotly - Machine Learning & AI, Practical experience in classification, regression, clustering techniques - Programming & Tools, Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Nice to Have: - Experience with Scrapy, SpaCy, or OpenCV - Knowledge of MLOps, model deployment, CI/CD pipelines - Familiarity with PyTorch or TensorFlow Soft Skills: - Strong analytical thinking and problem-solving abilities - Excellent verbal and written communication - Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Let's shape the future of AI together!,

You should have expertise in ML/DL, model lifecycle management, and MLOps tools such as MLflow and Kubeflow. Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models is essential. You must possess strong experience in NLP, fine-tuning transformer models, and dataset preparation. Hands-on experience with cloud platforms like AWS, GCP, Azure, and scalable ML deployment tools like Sagemaker and Vertex AI is required. Knowledge of containerization using Docker and Kubernetes, as well as CI/CD pipelines, is expected. Familiarity with distributed computing tools like Spark and Ray, vector databases such as FAISS and Milvus, and model optimization techniques like quantization and pruning is necessary. Additionally, you should have experience in model evaluation, hyperparameter tuning, and model monitoring for drift detection. As a part of your roles and responsibilities, you will be required to design and implement end-to-end ML pipelines from data ingestion to production. Developing, fine-tuning, and optimizing ML models to ensure high performance and scalability is a key aspect of the role. You will be expected to compare and evaluate models using key metrics like F1-score, AUC-ROC, and BLEU. Automation of model retraining, monitoring, and drift detection will be part of your responsibilities. Collaborating with engineering teams for seamless ML integration, mentoring junior team members, and enforcing best practices are also important aspects of the role. This is a full-time position with a day shift schedule from Monday to Friday. The total experience required for this role is 4 years, with at least 3 years of experience in Data Science roles. The work location is in person. Application Question: How soon can you join us ,

You are an experienced Data Scientist with 2-4 years of hands-on experience in developing machine learning and deep learning models, specifically in the domain of text analytics and natural language processing (NLP). You will be responsible for taking ownership of the entire process, from understanding requirements to proposing and designing effective solutions. This role requires a professional capable of developing innovative projects in NLP, text analytics, and text generation. Your key responsibilities will include collaborating with stakeholders to gather and understand business requirements, proposing and designing innovative solutions using machine learning and deep learning techniques, developing and validating models for text analytics, NLP, and text generation applications, analyzing and assessing the effectiveness of solutions through testing and validation, conducting comprehensive data analysis and statistical modeling to extract insights and drive data-driven decision-making, communicating insights and results clearly to both technical and non-technical audiences, staying updated on industry trends and advancements in data science and NLP, and mentoring and guiding juniors to foster a culture of continuous learning and improvement. Required Skill Set: - Good analytical skills and an inherent ability to solve problems. - Bachelors or masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Proven expertise in text analytics, NLP, machine learning, and deep learning. - Strong proficiency in Python, demonstrating algorithmic thinking. - Proven experience with machine learning libraries such as NLTK, spaCy, Scikit-learn, Pandas, and NumPy. - Experience in training and validating models using deep learning frameworks like TensorFlow or PyTorch, including Hugging Face. - Experience in tuning and validating models from the families of BERT, T5, BART, or FLAN-T5. - Experience in performing hyperparameter tuning in at least one project. Good To Have Skill Set: - In-depth knowledge of the fundamentals of transformer-based models and related techniques. - Hands-on experience with generative models (e.g., GANs, VAEs, GPT). - Experience developing with frameworks like LangChain and LlamaIndex. - Other GenAI related skills include RAG pipeline design, Multi-agentic solution.,

About Northern Trust: Northern Trust is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. With over 22,000 partners and more than 130 years of financial experience, Northern Trust takes pride in providing innovative financial services and guidance to the world's most successful individuals, families, and institutions while upholding enduring principles of service, expertise, and integrity. The Model Risk Management Group (MRMG) is a centralized function within the Bank that has experienced rapid growth in response to increasing global regulatory focus on model risk. We are currently seeking a Consultant, Risk Analytics to join our team. In this role, your primary responsibility will be to support the model validation function, acting as a lead contributor in identifying and diagnosing model-related risks across various aspects including input data, assumption, methodology, and outcomes analysis. Key Responsibilities: - Validate models primarily developed in Python or SAS, with a focus on challenging the conceptual soundness of machine learning models and ensuring the quality of input data. - Demonstrate advanced proficiency in financial models related to portfolio analysis, asset management, Value at Risk, Monte Carlo simulations, CAPM, and factors. - Exhibit a solid understanding of risks associated with AI/ML models, such as Fairness, Privacy, Transparency, and Explainability. - Engage in stress testing, CCAR, CECL, and other relevant areas. - Solve complex quantitative problems, analyze possible solutions, and develop a deep understanding of various algorithms and machine learning techniques. - Review and assess bank-wide quantitative models including those used for CECL, CCAR/DFAST stress testing, credit risk projections, operational risk, AML, and other machine learning models. - Ensure model development, monitoring, and validation approaches align with regulatory expectations and internal risk management needs. - Evaluate model specifications, assumptions, testing completeness, and performance metrics, while documenting observations and recommending remediation actions. - Maintain strong relationships with key stakeholders like model developers, owners, and users. Qualifications: - 6 to 8 years of modeling or quantitative analysis experience in a relevant discipline. - A degree in STEM field, mathematics, actuarial science, engineering, or statistics (Advanced degree preferred). - Strong interpersonal, verbal, and written communication skills. - Proficiency in Python, with experience in SAS and R desired. - Mastery of analytical tools like Excel, Word, and PowerPoint. - Deep understanding of linear and logistic regression, along with experience in Machine Learning models. - Familiarity with cloud and big data technologies is a plus. Joining Northern Trust offers a chance to be part of a flexible and collaborative work culture where innovation is encouraged, and career growth is supported. As a company committed to serving communities, Northern Trust values inclusivity and flexibility in the workplace. Apply today to explore opportunities with one of the world's most esteemed and sustainable companies. #MadeForGreater Northern Trust is dedicated to providing reasonable accommodations to individuals with disabilities. If you require accommodation during the employment process, please contact MyHRHelp@ntrs.com. We look forward to learning more about your interests and experiences and discussing how you can contribute to our team. Share your flexible working requirements with us, and together, we can achieve greater success.,

You should have a minimum of 1+ years of experience in AI-based application development. Your role will include fine-tuning pre-existing models to improve performance and accuracy, designing and implementing machine learning models, and optimizing model performance through experimentation and hyperparameter tuning. You must have experience with TensorFlow or PyTorch, as well as other deep learning architectures like CNNs, RNNs, and GANs. Familiarity with APIs such as OpenAI or Vertex AI is also required. Additionally, you should be proficient in Python and able to write optimized scripts for both relational and non-relational databases. As part of your responsibilities, you will need to test and validate AI models to ensure they meet quality standards and business objectives. You will also be developing and maintaining APIs using Python frameworks such as FastAPI, Flask, or Django to integrate AI capabilities into various systems. Continuous learning and professional development in AI and related technologies is essential for this role. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure, as well as experience with version control systems like Git, is necessary. Experience with deploying models using Docker, Kubernetes, AWS Bedrock, and Sagemaker is a plus. Strong problem-solving skills are required to translate complex business problems into AI solutions effectively.,

You will be responsible for performing a variety of moderately complex risk analytics with a focus on AI/ML models. Your role will involve resolving moderately complex issues in advanced data modeling and measuring risk. You will provide effective challenge to the models by evaluating model-related risks including input data, model assumptions and limitations, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation. This position requires a combination of strong quantitative skills and AI/ML technical knowledge. Your major duties will include validating Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) models independently across various categories. You will evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles. Additionally, you will assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques. You will also be responsible for validating complex statistical and/or algorithmic models used across various areas within the bank. It will be crucial to ensure that model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs. Moreover, you will provide analytical or risk measurement support to help meet both internal corporate and regulatory requirements. Developing in-depth knowledge of business unit/function and complex modeling techniques used will be essential. You will need to clearly communicate the complex issues/findings of the model validation outcomes to stakeholders and keep abreast of the latest regulatory requirements around model risk management. Furthermore, you will be expected to work on varied areas of risk management as part of the centralized Model Validation team within the bank. Your knowledge and skills should include experience with Machine Learning models, strong knowledge of AI/ML techniques, experience in validating machine learning models, familiarity with GenAI risks and controls, and understanding of models used in stress testing, CCAR, CECL, BASEL regulations, among others. Excellent oral and written communication skills, knowledge of risk measurement, and strong analytical and problem-solving skills are also required. Ideally, you should have an advanced degree in a quantitative discipline or Computer Science with a focus on AI/ML, along with 3 to 6 years of relevant work experience. Programming experience in Python is required, with experience in SAS and R desired. Mastery of analytical tools and strong preference for candidates with certifications in AI/ML or CFA/FRM/CQF are important. Familiarity with cloud and big data technologies is also desired. Working at Northern Trust offers opportunities for greater achievements in a flexible and collaborative work culture. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities it serves. Join a workplace with a greater purpose and apply today to build your career with one of the world's most admired and sustainable companies. Northern Trust is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact the HR Service Center at MyHRHelp@ntrs.com. Northern Trust values an inclusive workplace and understands that flexibility means different things to different people. Apply today and discuss your flexible working requirements to achieve greater together.,

You will be responsible for applying Natural Language Processing (NLP) AI techniques, conducting machine learning, and developing high-quality prediction systems for data classification. Your main tasks will include presenting information through data visualization techniques, as well as collecting, preprocessing, and harmonizing data. As a part of your role, you will develop applications in machine learning and artificial intelligence, while selecting features, building, and optimizing classifiers using machine learning techniques. Understanding business objectives and creating models to support them, along with relevant metrics to monitor progress, will be crucial. You will need to manage available resources efficiently, such as hardware, data, and personnel, to ensure project deadlines are met. Your responsibilities will also involve analyzing various ML algorithms to identify the most suitable ones for solving a specific problem and ranking them based on success probability. Exploring and visualizing data to comprehend it better, detecting variations in data distribution that could impact model performance in real-world deployment, and verifying data quality through cleaning processes will be essential. You will supervise the data acquisition process if additional data is required, search for relevant datasets online for training purposes, define validation strategies, and determine pre-processing or feature engineering on datasets. Furthermore, you will be involved in defining data augmentation pipelines, training models, tuning hyperparameters, analyzing model errors, and developing strategies to address them. Deployment of models to production environments will also be a key aspect of your role. As a desired candidate, you should possess a strong understanding of machine learning (ML) and deep learning (DL) algorithms, as well as an architectural comprehension of CNN and RNN algorithms. Experience with NLP data models and libraries, entity extraction using NLP, and proficiency in tools like TensorFlow, scikit-learn, and spaCy is required. Additionally, familiarity with transfer learning, scripting and programming skills in Python and Streamlit, common data science toolkits such as NumPy and Fast.AI, and various machine learning techniques and algorithms like k-NN, Naive Bayes, and SVM is essential. Proficiency in query languages, applied statistics skills, data wrangling, data exploration, as well as tools like Tableau and DataPrep will be advantageous. The ideal candidate will be an immediate joiner with no restrictions on salary for the right individual.,

As an experienced AI/ML Architect, you will play a crucial role in leading the design, development, and deployment of cutting-edge Generative AI solutions. Your deep understanding of AI/ML architectures, technical leadership skills, and expertise in cloud platforms like GCP will be instrumental in designing robust, scalable, and production-ready systems. Collaborating closely with cross-functional teams and stakeholders, you will implement state-of-the-art AI solutions that address real-world challenges and drive business value. Your responsibilities will include providing technical leadership by guiding development teams through best practices and architecture reviews. You will design end-to-end Generative AI solutions, develop data pipelines, train models, deploy solutions, and monitor them in real-time. Leveraging MLOps tools, you will automate workflows for scalable and repeatable deployments. Your role will also involve optimizing deployment pipelines using tools like Docker, Kubernetes, and cloud-native services, ensuring seamless integration into existing CI/CD pipelines. In addition, you will focus on building scalable ETL workflows, implementing data preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Identifying and implementing optimization strategies for model performance enhancement will be a key aspect of your work. You will also drive the development of Proof of Concepts (POCs) and pilot projects, collaborating with delivery and product teams to scale successful pilots to production-grade solutions. To excel in this role, you should have at least 10 years of experience in AI/ML architecture, model development, and production deployment. Your expertise in designing, implementing, and scaling Generative AI and LLM-based solutions, along with hands-on experience with frameworks like LangChain and RAG, will be invaluable. Proficiency in Python, SQL, MLOps tools, containerization, and CI/CD pipelines is essential. Your strong technical leadership, communication skills, and strategic thinking abilities will be crucial in driving the adoption of Generative AI solutions and enabling continuous improvement. Joining our team will provide you with the opportunity to work on cutting-edge AI solutions, collaborate with a technology-driven team, and drive innovation through technical leadership and mentorship. You will have access to the latest AI/ML technologies and frameworks, ensuring continuous professional growth in this dynamic field.,

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

Arrk Group India is a technology company with over 23 years of industry experience, specializing in developing scalable platforms to meet the needs of customers and enabling organizations to implement disruptive technologies for business transformation. The focus is on helping both public and private sector customers globally transition to digital environments. As a Senior AI Engineer at Arrk Group India, you will be responsible for AI Engineering System Architecture and Development. This includes understanding generative AI, large language models, and other foundation models for various business applications. You should possess demonstrable knowledge and practical experience in using models programmatically via APIs and have a strong understanding of AI engineering solutions architectures such as RAG. Your practical AI skills should include evaluating models for specific use cases, knowledge of databases like SQL, Postgres, and vector databases like pgvector and ChromaDB. You will explore, analyze, and visualize data at scale to identify differences in data distribution that could impact model performance. Additionally, you will need to verify data quality, clean data, establish ground truth, synthesize data, and organize data for fine-tuning. Proficiency in deploying large language models to production, training models, tuning hyperparameters, and selecting hardware for running ML models with the required latency is essential. You should also be able to analyze machine learning algorithms for problem-solving and rank them based on success probability. Knowledge of OpenCV and familiarity with deep learning frameworks like TensorFlow, PyTorch, or similar is desired, along with experience in AWS Cloud and Sagemaker. In addition to technical skills, you should be comfortable with rapid prototyping, possess strong problem-solving and analytical skills, and have familiarity with version control systems like Git. Proficiency in Python and basic ML libraries, understanding of NLP frameworks such as Spacy, and familiarity with REST APIs are necessary. Knowledge of crawling frameworks like Scrapy, Linux OS, and excellent communication skills are also required. If you meet the specified criteria and are interested in joining a dynamic team working on cutting-edge AI solutions, please share your updated CV to kajal.uklekar@arrkgroup.com. We are looking forward to connecting with talented AI professionals who can contribute to our innovative projects. Thank you, Kajal Uklekar Senior Talent Manager,

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

We are looking for a highly skilled and experienced Senior Python & ML Engineer with expertise in PySpark, machine learning, and large language models (LLMs). You will play a key role in designing, developing, and implementing scalable data pipelines, machine learning models, and LLM-powered applications. In this role, you will need to have a solid understanding of Python's ecosystem, distributed computing using PySpark, and practical experience in AI optimization. Your responsibilities will include designing and maintaining robust data pipelines with PySpark, optimizing PySpark jobs for efficiency on large datasets, and ensuring data integrity throughout the pipeline. You will also be involved in developing, training, and deploying machine learning models using key ML libraries such as scikit-learn, TensorFlow, and PyTorch. Tasks will include feature engineering, model selection, hyperparameter tuning, and integrating ML models into production systems for scalability and reliability. Additionally, you will research, experiment with, and integrate state-of-the-art Large Language Models (LLMs) into applications. This will involve developing solutions that leverage LLMs for tasks like natural language understanding, text generation, summarization, and question answering. You will also fine-tune pre-trained LLMs for specific business needs and datasets, and explore techniques for prompt engineering, RAG (Retrieval Augmented Generation), and LLM evaluation. Collaboration is key in this role, as you will work closely with data scientists, engineers, and product managers to understand requirements and translate them into technical solutions. You will mentor junior team members, contribute to best practices for code quality, testing, and deployment, and stay updated on the latest advancements in Python, PySpark, ML, and LLMs. Furthermore, you will be responsible for deploying, monitoring, and maintaining models and applications in production environments using MLOps principles. Troubleshooting and resolving issues related to data pipelines, ML models, and LLM applications will also be part of your responsibilities. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python programming, PySpark, machine learning, and LLMs is essential. Experience with cloud platforms like AWS, Azure, or GCP is preferred, along with strong problem-solving, analytical, communication, and teamwork skills. Nice-to-have skills include familiarity with R and Shiny, streaming data technologies, containerization technologies, MLOps tools, graph databases, and contributions to open-source projects.,

Job Title: AI/ML Engineer Python Experience Required: 4 to 5 Years Location: Office Job Type: Full-Time Job Summary: We are looking for a talented and experienced AI/ML Engineer with strong proficiency in Python to join our team. The ideal candidate will have 45 years of hands-on experience in developing machine learning models, implementing AI solutions, and deploying them into production environments. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models using Python. Work with large datasets to perform data cleaning, preprocessing, and feature engineering . Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions. Evaluate and tune model performance using techniques like cross-validation , hyperparameter tuning , etc. Use libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy , and OpenCV . Deploy ML models using APIs, Docker, cloud platforms (AWS, GCP, Azure) , or MLOps pipelines. Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems. Document model workflows, performance metrics, and code for reproducibility and compliance. Required Skills & Qualifications: Bachelor&aposs/Masters degree in Computer Science, Artificial Intelligence, Data Science , or related field. 45 years of experience in AI/ML development using Python . Solid understanding of ML algorithms (classification, regression, clustering, NLP, computer vision). Experience with model deployment and productionizing AI solutions . Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform) is a plus. Strong analytical, problem-solving, and programming skills. Ability to interpret business needs and translate them into technical solutions. Preferred Tools & Frameworks: Python , scikit-learn , TensorFlow , Keras , PyTorch Pandas , NumPy , Matplotlib , Seaborn Flask/FastAPI for deploying models MLflow , Docker , Git , Jupyter Notebooks Exposure to NLP , Computer Vision , or Reinforcement Learning is a plus Certifications (Optional but Preferred): TensorFlow Developer Certificate AWS Certified Machine Learning Specialty Google Professional ML Engineer Microsoft Certified: Azure AI Engineer Associate Show more Show less

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

We are looking for a highly motivated and experienced data scientist to lead our team of Gen-Ai Engineers. As a data scientist, you will oversee all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a strong passion for artificial intelligence and will stay updated with the latest advancements in this field. Your responsibilities will include utilizing frameworks like Langchain to develop scalable AI solutions, integrating vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities, and collaborating with cross-functional teams to define problem statements and prototype solutions using generative AI. It will also involve ensuring the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. You will be required to explore and visualize data to gain insights, identify differences in data distribution that could impact model performance in real-world deployment, verify and ensure data quality through data cleaning, supervise the data acquisition process if additional data is needed, find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines, train models, tune hyperparameters, analyze model errors, and devise strategies to overcome them. You will also be responsible for deploying models to production. The ideal candidate should have a Bachelors/Masters degree in computer science, data science, mathematics or a related field, along with 3-10 years of experience in building Gen-Ai applications. Preferred skills include proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis, expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, specialization in Deep Learning (NLP) and statistical machine learning, strong Python skills, experience in developing production-grade applications, familiarity with Langchain framework and vector databases, understanding and experience with retrieval algorithms, working knowledge of Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive, and familiarity with deploying applications on Ubuntu/Linux systems. Excellent communication, negotiation, and interpersonal skills are also essential for this role.,

You will need hands-on experience in converting SAS to Python, along with strong mathematics and statistics skills to excel in this role. Additionally, proficiency in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc., is essential. Your ability to comprehend business requirements and derive use cases and solutions from structured/unstructured data will be crucial. Your responsibilities will include converting SAS to Python code, acquiring the necessary skills for building and deploying machine learning models for production, and engaging in feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning. You will also be expected to develop and deploy cloud-based applications, such as LLM/GenAI, into production. Proficiency in programming languages like SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras, and expertise in exploratory data analysis, machine learning, deep learning algorithms, model building, hyperparameter tuning, and model performance metrics are required. Knowledge of MLOps, data pipelines, data engineering, statistics, time series modeling, forecasting, image/video analytics, and natural language processing (NLP) will also be advantageous. Experience with ML services from cloud platforms like AWS, GCP, Azure, and Databricks is preferred. Basic knowledge of Databricks and Big Data, including Spark and Hive, is considered an asset. If you are looking to join a dynamic team and work in locations such as Indore, Noida, Gurgaon, Bangalore, or Pune, please share your profiles with details on notice period and compensation.,

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. As an ML Engineer at ClearTrail, you will be responsible for developing an end-to-end machine learning pipeline, encompassing model development, refinement, and implementation for various analytics problems. Your role will involve effectively communicating results to a diverse range of technical and non-technical audiences. Additionally, you will leverage your expertise in LLM to tackle problems using cutting-edge language models and off-the-shelf LLM services such as OpenAI models. Your responsibilities will also include staying updated with the latest advancements in AI, problem-solving, code debugging, and practical experience in working with large language and generative AI models, including transformers and GPT models. Qualifications for this role include a Bachelor's degree in computer science & engineering, along with 6-10 years of proven experience as a Machine Learning Engineer or similar role with LLM skill set. You should possess sound theoretical and practical knowledge of machine learning algorithms and hands-on experience with LLM applications. Proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries is essential, along with expertise in techniques such as Exploratory Data Analysis, Machine Learning, Neural Networks, Hyperparameter tuning, Model performance metrics, and Model Deployment. Practical knowledge of LLM and its finetuning is also a mandatory requirement. While not mandatory, it would be advantageous to have skills in Deep Learning, MLOps, and SQL. By joining ClearTrail, you will have the opportunity to contribute to the future of intelligence gathering and play a vital role in developing innovative solutions to address complex challenges in the realm of security and safety.,

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hyperparameter tuning, pruning, and quantization. Additionally, you will deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker, ensuring the scalability, performance, and reliability of both applications and models. Collaboration with cross-functional teams to analyze requirements, deliver technical solutions, and staying up-to-date with the latest industry trends in AI/ML will also be key aspects of your role. Your ability to write clean, efficient code following best practices, conduct code reviews, and provide constructive feedback to peers will contribute to the success of our projects. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of professional experience as a Python Developer. Proficiency in Python, Django, Flask, and AWS services is required, along with expertise in machine learning frameworks, transformer architectures, and database technologies. Familiarity with MLOps practices, front-end technologies, and strong problem-solving skills are also desirable qualities for this position. If you are passionate about leveraging your Python development skills and AI expertise to drive innovation and deliver impactful solutions, we encourage you to apply and be a part of our innovative team at Chicmic Studios.,

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experience, possessing expertise in machine learning (ML) and Large Language Models (LLM) skill set to join our team in Indore, Madhya Pradesh. Roles and Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). Skills: - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. Nice to have experience: - Deep Learning - MLOps - SQL Qualifications: - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

Experience in ML, DL (Tensorflow, Keras, PyTorch), NLP, and NLU (NLTK, Spacy, Flair, etc.) Good understanding and relevant experience in ML techniques/ NLP/ Computer Vision tasks such as classification, clustering, deep learning, optimization methods, NER, dependency parsing, boundary detection, etc. Experience with Conversational AI frameworks like Rasa, Microsoft Bot etc Fluency in Python: Pandas, NumPy, SciPy, PySpark, PyTorch, Matplotlib Techniques: Regression analysis, Natural Language Processing (NLP) models, CNN DNN, Decision tree, Deep learning algorithms. Solid experience with one or more of the following programming languages: Scala, Java Experience with database technology such as MySQL, Postgres, Oracle and NoSQL databases Excellent working knowledge of Amazon Web Services (AWS) and ML services. Knowledge of AWS Sagemaker will be a plus AWS Certification will be a plus Good written and verbal communication skills Experience working with remote engineering teams