SPAR Solutions - Machine Learning/Artificial @ IBM India

Job Description

Role : Senior AI/ML Engineer Experience : - 10+ years of blended experience in Software Engineering and AI/ML fields. - Minimum of 5 years dedicated to specialized work in AI/ML, particularly in NLP. Education : - Bachelor's/Master's/Ph.D. in Computer Science, Mathematics/Statistics, or related field. - Completion of advanced or Postgraduate training in Machine Learning and Artificial Intelligence. Location : Pune Position Overview : Seeking a skilled AI/ML Engineer with expertise in NLP, Machine Learning, and Data Analytics with exposure to LLM app development. Strong communication skills and the ability to work independently are essential, along with experience in Web and API development, preferably in Python and Django frameworks. The ideal candidate will be a quick learner, well-versed in the latest AI/ML and data trends, and have a track record of successful project deliveries. Completion of online courses in LLM application development and a strong business acumen are. highly desirable. Required Skills : Proven track record of developing and implementing complex machine learning algorithms and models. Extensive experience with data preprocessing, Exploratory Data Analysis (EDA), feature engineering, and model evaluation. Comprehensive understanding of machine learning and deep learning algorithms. Specialization in Natural Language Processing, including areas such as Transformers, HuggingFace, etc. Skilled in Python and popular machine learning libraries like TensorFlow/Keras, PyTorch, and Scikit-learn. Advanced knowledge in crafting LLM applications through techniques like Prompt Engineering, Retrieval Augmented Generation (RAG) and fine-tuning of LLM foundational models. Experience in developing Chatbot and Conversational AI solutions. Proficiency in Web API development using technologies such as Flask, FastAPI, Spring Boot, or ASP.Net Web API. Web development skills, ideally with frameworks like Django, Streamlit, or others like Spring Boot, ASP.Net, React, Vue, Angular, PHP. Practical experience with both RDBMS and No-SQL databases, proficient in any SQL dialect. Solid grounding in the Mathematics, Probability, and Statistics that underpin Machine Learning and Deep Learning. Exceptional problem-solving and analytical skills. Effective communication and people skills. Capability to operate independently and assume full responsibility for tasks. Experience in guiding junior team members. Sufficient understanding of MLOps, DevOps, and cloud AI platforms like AWS SageMaker, Azure ML, or Google VertexAI. Desired Skills : Experience in CRM(Customer Relationship Management) Domain Proficient in big data frameworks like Hadoop and Spark. Skilled in Data Warehousing and the development of ETL processes or data pipelines. Adeptness in Data Analytics and Visualization software, such as Excel, Power BI, Tableau, or Plotly/Dash. What We Offer : Competitive salary and benefits. Collaborative and intellectually stimulating work environment. Opportunity to work on cutting-edge technologies and projects. Mentorship and growth opportunities. Roles & Responsibilities : Manage data collection, cleaning, and preprocessing, along with feature engineering to ensure the data quality and readiness for machine learning tasks. Lead the development and implementation of machine learning algorithms and models for various applications, including Natural Language Processing, Conversational AI, recommender systems, predictive analytics, etc. Train, fine-tune, and optimize complex machine learning models using large datasets. Develop and maintain full-stack software applications that leverage AI/ML, NLP and LLM technologies. Stay up-to-date on AI and ML developments and apply cutting-edge techniques to solve complex real-world problems. Maintain comprehensive documentation of models, code, and processes. Take complete ownership of tasks and projects from conceptualization to deployment. Adhere to and implement industry best practices in coding, versioning, MLOps, DevOps, and cloud platform management. Mentor and guide junior team members

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: SPAR Solutions - Machine Learning/Artificial

+ View Contact

Keyskills:   NLP Machine Learning Data Analytics Python Django Transformers Flask Spring Boot Django Spring Boot Angular PHP RDBMS SQL Mathematics Probability Statistics DevOps CRM Hadoop Spark Data Warehousing Data Analytics Visualization software Excel Power BI Tableau LLM app development HuggingFace TensorFlowKeras PyTorch Scikitlearn Prompt Engineering Retrieval Augmented Generation RAG Chatbot development Conversational AI FastAPI ASPNet Web API Streamlit ASPNet React Vue NoSQL databases MLOps AWS SageMaker Azure ML Google VertexAI ETL processes PlotlyDash