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About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary :
We are looking for Python AI ML Engineer who will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products and professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data.

Key Responsibilities:
*Convert business problem into analytical problem and devise a solution approach.
*Clean, aggregate, analyze and interpret the data to derive business insights from it.
*Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management.
*Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications.
*Should have solid background in Python and has deployed on open-source models.
*Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison.
*Must have demonstrated project management experience.
*Knowledge of firm’s reporting tools and processes.
*Proactive, organized, and self-sufficient with ability to priorities and multitask.
*Analyses complex or unusual problems and can deliver insightful and pragmatic solutions.
*Ability to quickly and easily create/ gather/ analyze data from a variety of sources.
*A robust and resilient disposition able to encourage discipline in team behaviors.

Role Requirements and Qualifications:
*Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments.
*Solid background in Python and its libraries - Scikit-Learn, SpaCy, NumPy, Pandas, NLTK, TensorFlow, and PyTorch.with excellent coding skills.
*4+ years of core data science experience in one or more below areas:
Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering).
*Machine Learning, Deep Learning, and experience working with LLM models ( LangChain).
*Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index.
*Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets.
*Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models).
*Experience in Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence.
*Computer Vision- Image Classification, Object Detection, Tracking etc.
*SQL/NoSQL Databases and its manipulation components.
*Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes.
*Excellent written, oral, presentation and facilitation skills.
*Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline.

Why Join Us:
*Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
*Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
*Competitive compensation & benefits, ESOPs and international assignments.
*Supportive environment with healthy work-life balance and a focus on employee well-being.
*Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.