4 Model Selection Jobs

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

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.,

About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow, and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Document, Content & Record Services Technology (DCRS) is an enterprise-wide capability, managing documents, e-signature transactions, and the creation, storage, and fulfillment of billions of letters and statements annually. DCRS capabilities are at the forefront of the digital evolution as they drive a significant reduction in paper and manual processes. Job Description - 7+ years as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - We're looking for a Python Developer who can be responsible for designing, building, and maintaining document capture applications - The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models Responsibilities - Building Machine Learning & NLP Models and knowledge of new Gen AI Open-source Models Requirements - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Education - Bachelors /masters degree in computer science/data science, or a related technical field - Certifications If Any: NA Experience Range - 06 Years To 12 Years Foundational Skills - Good experience as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Desired Skills - Collaborating with a diverse set of partners and stakeholders from various Lines of Business - Highly motivated, proactive, and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight - Critical thinker: ability to analyze problems and identify issues and provide solutions - Ability to navigate the enterprise & data assets across multiple functions - Highly organized - Effectively prioritizes and balances multiple efforts in a fast-paced environment - Excellent communication and Presentation skills - Analytical abilities & great problem-solving skills Work Timings - 11:00 AM to 8:00 PM IST Job Location - Mumbai, Gurugram, GIFT, Chennai,

Job Title: Machine Learning Engineer Location: Bhubaneswar Experience: 4-8 Years Job Description: We are looking for a talented Machine Learning Engineer with 4-8 years of experience to join our team. The ideal candidate will have a strong background in designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will be responsible for analyzing large datasets, identifying patterns, and creating predictive models to drive business insights and optimization. Key Responsibilities: Develop, implement, and optimize machine learning algorithms to solve business problems. Analyze large datasets to extract valuable insights and patterns for decision-making. Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Conduct model training, evaluation, and fine-tuning to improve accuracy and performance. Stay up-to-date with the latest trends and advancements in machine learning and AI. Must-Have Skills: Strong experience in machine learning frameworks and libraries (TensorFlow, Scikit-learn, Keras, etc.). Proficiency in programming languages like Python or R. Hands-on experience in data preprocessing, feature engineering, and model selection. Knowledge of algorithms for classification, regression, and clustering. Strong understanding of statistics, mathematics, and data modeling. If you are passionate about machine learning and eager to apply your skills to impactful projects, apply now to join our growing team! Job Type: Full-time Schedule: Day shift Morning shift Work Location: In person,